Relevant bibliographies by topics / Automatic white balance

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Automatic white balance'

Author: Grafiati
Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Automatic white balance"

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Hu, Yong. "Segmentation-Based Automatic White Balance Algorithm." Applied Mechanics and Materials 333-335 (July 2013): 954–57. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.954.

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Classic automatic white balance algorithm always been invalidity when there are large color-blocks or less of highlights points occurred in cast images. In this literature, an improved automatic adjustment algorithm based on image segmentation is proposed to resolve the problem mentioned above. First, color images were transformed to HSV color space and low saturation area was segmented from S channel. And then, adjustment parameters were calculated by selected points. Experimental results show that the algorithm can effectively correct varied cast image with low computational complexity, and are suitable for various scenarios.
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Guo, Hui Nan, Qing Liu, Lei Yang, Hua Wang, Xiao Dong Zhao, and Long Ren. "Automatic White Balance Algorithm of Airborne Camera." Applied Mechanics and Materials 668-669 (October 2014): 1050–54. http://dx.doi.org/10.4028/www.scientific.net/amm.668-669.1050.

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Automatic white balance algorithm (AWB) is significant for color temperature restoration of digital imaging system. According to the limitations and disadvantages of existing traditional white balance methods, in this paper a new AWB algorithm for airborne camera is proposed. Using RGB and histogram information divide the input image into different color character regions; according to the color richness level, adopt different white balance algorithms to achieve chromatic aberration adjustment. Experiment results show the effectiveness of the proposed AWB algorithm for airborne camera.
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Hu, Yong. "Automatic White Balance Based on Gaussian Decomposition." Applied Mechanics and Materials 263-266 (December 2012): 2542–46. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2542.

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In this literature, an automatic white balance adjustment algorithm based on Gaussian decomposition is proposed. The improved algorithm is aiming at handling the problem occurred in automatic white balance algorithm, such as lack of correction or high complexity. First, Gaussian distribution of gray level is obtained by using Gaussian decomposition. And then, gain curve of each component in RGB color image are calculated by the parameters. After the coefficient is used for white balance adjustment, a corrected image is finally obtained. Experimental results show that the algorithm can effectively correct the image color cast problems, and are suitable for a variety of different scenarios.
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Yung-Cheng Liu, Wen-Hsin Chan, and Ye-Quang Chen. "Automatic white balance for digital still camera." IEEE Transactions on Consumer Electronics 41, no. 3 (1995): 460–66. http://dx.doi.org/10.1109/30.468045.

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Zhong, Jian, Su-ying Yao, and Jiang-tao Xu. "Implementation of automatic white-balance based on adaptive-luminance." Optoelectronics Letters 5, no. 2 (March 2009): 150–53. http://dx.doi.org/10.1007/s11801-009-8171-2.

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Xu, Li Li, and Bao Xian Jia. "Automatic White Balance Based on Gray World Method and Retinex." Applied Mechanics and Materials 462-463 (November 2013): 837–40. http://dx.doi.org/10.4028/www.scientific.net/amm.462-463.837.

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In different illumination, the same scene has different images. These images have different color. While adjust the image color, white balance is a very critical step. In the color adjustment, effective and automatic white balance algorithm can realize the intelligent adjustment of image color and save time. There are two kinds balance methods are Gray world method and Retinex theory. Two methods are commonly used. These have different treatment goals and have different characteristics. And their applications are relate to image attribute. Therefore, the two methods are combined and improve the white balance effect. In this paper, image was processed with gray world method firstly. Using the color constancy of Retinex, we maintain the green channel. We use nonlinear methods to adjust the pixel intensity. Through different parameters, we change the R, G, B channel value and realize the non linear adjustment of image intensity. The experimental results show that the proposed automatic white balance method can effectively avoid image distortion and keep the white balance is better.
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Zhou, Jie, and Keyao Li. "RTL Implementation of White Balance Algorithm Based on ZYNQ." Modern Electronic Technology 3, no. 2 (March 12, 2020): 12. http://dx.doi.org/10.26549/met.v3i2.3080.

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In view of the common automatic white balance algorithm complexity is too high and the characteristics of the hardware to realize real-time. This paper combines gray world model and the advantage of white point detection algorithm, an adaptive control process is used to calculate gain coefficient and to picture the three-component white balance correction. On this basis to realize the automatic white balance based on the zynq RTL implementation of the algorithm. Compared with the traditional method, the cost of hardware is reduced, and the efficiency and flexibility of the algorithm are improved. Experimental results show that the algorithm can run smoothly and realize accurate correction of off-color images.
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Jo, Jieun, Jaehyun Im, Jinbeum Jang, Yoonjong Yoo, and Joonki Paik. "Adaptive White Point Extraction based on Dark Channel Prior for Automatic White Balance." IEIE Transactions on Smart Processing and Computing 5, no. 6 (December 30, 2016): 383–89. http://dx.doi.org/10.5573/ieiespc.2016.5.6.383.

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Bodner, Ben, Yixuan Wang, and Susan Farnand. "Effect of Capture Illumination on Preferred White Point for Camera Automatic White Balance." Electronic Imaging 2016, no. 13 (February 14, 2016): 1–8. http://dx.doi.org/10.2352/issn.2470-1173.2016.13.iqsp-219.

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ShenChuan Tai, YiYing Chang, TseMing Kuo, and TzuWen Liao. "Automatic White Balance Algorithm through the Average Equalization and Threshold." International Journal of Advancements in Computing Technology 5, no. 1 (January 15, 2013): 436–47. http://dx.doi.org/10.4156/ijact.vol5.issue1.48.

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Dissertations / Theses on the topic "Automatic white balance"

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BIANCO, SIMONE. "Color correction algorithms for digital cameras." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7819.

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The image recorded by a digital camera mainly depends on three factors: the physical content of the scene, the illumination incident on the scene, and the characteristics of the camera. This leads to a problem for many applications where the main interest is in the color rendition accuracy of the scene acquired. It is known that the color reproduction accuracy of a digital imaging acquisition device is a key factor to the overall perceived image quality, and that there are mainly two modules responsible for it: the former is the illuminant estimation and correction module, the latter is the color matrix transformation. These two modules together form what may be called the color correction pipeline. This thesis has the objective to design and test new and more robust modules for the color correction pipeline, studying and exploiting the existing crosstalks in order to obtain a higher color reproduction accuracy. The first module considered is the illuminant estimation and correction one; many illuminant estimation solutions have been proposed in the last few years, although it is known that the problem addressed is actually ill-posed as its solution lack uniqueness or stability. To cope with this problem, different solutions usually exploit some assumptions about the statistical properties of the expected illuminants and/or of the object reflectances in the scene. In the last few years two research areas that are important in the context of improving the performance of color constancy algorithms have been highlighted: making additional measurements at the time of image capture (i.e. using more color pixel information), and algorithm combining (i.e. using two or more estimations of the illuminants). In this thesis a third hypothesis is investigated: the use of low level visual information to improve illuminant estimation. The second module considered is the transformation of the camera-dependent RGB image data into a standard RGB color space. This transformation, usually called color correction matrix or color matrixing, is needed because the spectral sensitivity functions of the sensor color channels rarely match those of the desired output color space (usually sRGB). The color correction matrix transformation is usually optimized assuming that the illuminant in the scene has been successfully estimated and compensated for. Both the illuminant estimation process and the color correction matrix concur in the formation of the overall perceived image quality. The two processes have always been studied separately, thus ignoring the interactions between them. In this thesis the interactions between the illuminant estimation process and the color correction matrix in the formation of the overall color accuracy are investigated, especially when the white point estimation is imperfect. How the color correction transform amplifies the illuminant estimation errors is also investigated. Furthermore, it is shown that it is possible to incorporate knowledge about the illuminant estimation behavior in the optimization of the color correction matrix to alleviate the error amplification. It is demonstrated that a fixed device chromatic response characterization, which is often adopted, is not able to produce good color accuracy in most situations. New strategies to improve color accuracy under both perfect and imperfect white point estimation are proposed, which clearly suggest that adaptive color transformations have to be preferred in order to improve the color accuracy.
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Varsha, Chikane. "Automatic White Balance for Digital Camera." 2004. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-3006200415565700.

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Po-Min, Wang. "Automatic White Balance with Color Temperature Estimation." 2006. http://www.cetd.com.tw/ec/thesisdetail.aspx?etdun=U0001-2106200613521000.

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Wang, Po-Min, and 王博民. "Automatic White Balance with Color Temperature Estimation." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/66128175255971215336.

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碩士
國立臺灣大學
資訊工程學研究所
94
This thesis discusses automatic white balance in digital camera. Auto white balance is the most important image processing step in the image pipeline of digital camera, since it controls the color appearance of the image. Without auto white balance adjustment, the photo will become bluish under high color temperature and have reddish color cast under low color temperature. Therefore, a camera with good auto white balance method produces accurate and satisfactory color appearance, and good image quality. In the beginning, we introduce what automatic white balance is and its importance. Then, we describe several previous methods and indicate these methods’ main drawbacks. Furthermore, we propose a novel and robust automatic white balance method by using color temperature estimation. Finally, we use objective and subjective evaluations to evaluate these methods. By experimental results, we can find that our method has robust and satisfactory results and is popular for most users.
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何宣儀. "automatic white balance of digital still camera." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/83036802261512121163.

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碩士
國立交通大學
顯示科技研究所
94
We analyze illuminant classification algorithm designed to group images by illuminant color temperature. To classify the illumination color temperature, a version of the correlation method suggested by Finlayson and colleagues is used. By using image calibrating with known illuminants, it was found that the original correlation method can be further improved by using a simple Gaussian model to simplify parameters in hardware memory. The color correction method is based on summarizing the ratio of R, G, and B sensor responses under different illuminants. R and B gains are defined as a function of color temperature. Therefore, the color correction can be performed in a simple way by the lookup table. In experiment, we adopt black box method to simplify color appearance theories.
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CHIOU, TZAN-SHENG, and 邱贊生. "Automatic White Balance for Digital Still Camera." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/03689870106571599389.

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碩士
國立臺灣大學
資訊工程學研究所
89
Due to the continuing decline in the cost the digital cameras are becoming increasingly popular. Affordability is need for the continued expansion of the digital camera market, but the quality of digital color images is also the important consideration for the consumer. There are many key factors that have a great effect upon the quality of digital cameras. White balance is one of the keys to the quality of digital cameras. When it comes to some extreme conditions, the traditional white balance methods seem powerless. In order to get a more precise result, we divide the problem of white balance into three parts. The three parts consist of detecting white point, judging white balance, and adjusting white balance. In this thesis, we propose a new white balance approach to respectively solve three main problems of white balance. The experimental results show that the proposed method has the best results in both visual results and evaluative results. Moreover, the complexity of the proposed method is acceptable. The proposed method can be easily applied to digital cameras and be used to good effect.
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Yun-GuYen and 嚴勻谷. "An Automatic White Balance Algorithm by Histogram Matching." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/p4ze4r.

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碩士
國立成功大學
電腦與通信工程研究所
105
Automatic white balance plays an important role in the image processing of digital camera. It is used to correct the color cast under different illumination and make the image looks like under canonical illumination. The traditional automatic white balance methods cannot correct color cast in some cases. In this thesis, an automatic white balance algorithm based on histogram matching is proposed. The proposed algorithm is composed of three main parts: First of all, the corresponding histogram of the image is calculated. Secondly, the histogram is matched to a specific one. Last but not the least, the determination of whether the color artifact occurs or not is applied. If so, the elimination of color artifact is processed and get the output image. Otherwise, the image after histogram matching is adopted directly.
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Shen, Chun-Hung, and 沈俊宏. "Automatic Focus and White Balance for Digital Cameras." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/49727898653140496838.

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Chang, Wen-Ling, and 張文玲. "An Automatic White Balance Method Based on CIELAB Color Space." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/01586550131243510652.

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碩士
國立中興大學
資訊科學與工程學系所
99
For the past few years, Digital Image Processing is boosting a maturing technology. It has photography function on many digital products, such as Digital Camera (DC), Cell Phone, Notebook (NB) and Personal Digital Assistant (PDA)...etc. Digital Image Device became the necessaries of dailiness and changed our life. For Digital Camera, it is used to be images catch device popularly and instead of the film of traditional camera. In this study, we propose a new method - Automatic White Balance. It estimates images'' color cast with easy statistics and adjust the images with the color cast. As the experiment display, Automatic White Balance, could be the solution and approved efficiently of images color cast. From the experiment results show that Automatic White Balance of our method can effectively improve the image problem of a serious color cast.
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Lin, Yin-Hsin, and 林殷旭. "Hardware-Software Co-design of an Automatic White Balance Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/b4636z.

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碩士
國立臺北科技大學
電腦與通訊研究所
94
As electronic techniques is continuous improved rapidly cameras or video camcorders used for image retrieval technology and development become digitalized. The color of the photographs would look very different due to differences in light projection illumination when we take a picture. Human eyes are able to automatically adjust the color when the illuminations of the light source vary. However, the most frequently used image sensor, charge coupled device, CCD device can not correct the color as human eyes. This paper presents a hardware-software co-design method based on Lam’s automatic white balance algorithm, which combines gray world assumption and perfect reflector assumption algorithms. The execution steps of Lam’s algorithm were divided into three stages. The hardware-software co-design and analysis for each stage was realized. Three factors including processing time, slices and DSP48s of hardware resources were used to formulate a Objective Function, which was employed to evaluate the system performance and hardware resource cost. Experimental results shows suitable partitions of hardware-software co-designs were achieved. An embedded processor, MicroBlaze developed by Xilinx and a floating point processor were used to deal with the software part of the algorithm. The hardware part of the algorithm was implemented using an IP-based method. It is able to reduce the memory and CPU resources of the PC as well as to have the properties of easy modification and function expansion by using such system on a programmable chip architecture.
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Books on the topic "Automatic white balance"

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Kaveny, Scott Adam. Grow Your Business Massively and Easily with Integrity Using LinkedIn Automation: Secret Strategies to Build Your Relationships and Business While Keeping a Balanced Mind. Independently Published, 2019.

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Bátiz-Lazo, Bernardo. Cash and Dash. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782810.001.0001.

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Cash and Dash looks at the origins and development of the automated teller machine (ATM) as means to provide the unifying thread to explain changes in retail banking brought about by and around the introduction of computer technology. Main themes include an explanation of why technological change is slow in retail financial markets, and how different groups of people and organizations interact to shape a particular technology. Documentary evidence helps to clarify the myth of the single inventor and details the monumental task to deliver digital banking for retail consumers. Of particular importance for banks around the world throughout this task, was the need to balance new and unintended uses of a device by consumers as opposed to solving impending technical issues and gaining consumers’ trust, acceptance, and high usage. Research illuminates the progress of an industry-specific innovation becoming a novelty and how new payment devices embed in everyday life. The story in Cash and Dash also illustrates that serious ethical and political issues can emerge while adopting, making operational, and maintaining a particular technology within and around retail financial institutions. This approach contrasts with others that perceive technological change as external, neutral, and devoid of context and social setting. The book aims to keep the focus of the narrative off obsolescence and on maintenance and reinvention, while also allowing space to provide conceptual underpinnings and celebrating industry milestones. In short, Cash and Dash recounts a story of decisions about capital investments, business strategies, and technological evolution, and how these were followed by decisions dealing with legacy systems, personnel, standards, locations, and whether machines could become a source of competitive advantage in retail banking.
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Book chapters on the topic "Automatic white balance"

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Feng, Yuanyong, Weihao Lu, Jinrong Zhang, and Fufang Li. "An Automatic White Balance Algorithm via White Eyes." In Advances in Intelligent Systems and Computing, 1679–86. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8462-6_191.

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Xu, Heding, Hong Zhang, Bo Rao, Yifan Yang, and Zeyu Zhang. "An Automatic White Balance Algorithm Based on Pixel Luminance and Chromaticity." In Image and Graphics Technologies and Applications, 353–59. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9917-6_34.

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Lindsay, Clifford, and Emmanuel Agu. "Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection." In Advances in Visual Computing, 579–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_55.

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Hai, Yuan, Ling Li, and Jia Gu. "A Novel Automatic White Balance Algorithm for the 3D Image of Stereoscopic Endoscopy." In IFMBE Proceedings, 203–6. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19387-8_49.

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Ou, Zhixin, Juan Chen, Yuyang Sun, Tao Xu, Guodong Jiang, Zhengyuan Tan, and Xinxin Qi. "AOA: Adaptive Overclocking Algorithm on CPU-GPU Heterogeneous Platforms." In Algorithms and Architectures for Parallel Processing, 253–72. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-22677-9_14.

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AbstractAlthough GPUs have been used to accelerate various convolutional neural network algorithms with good performance, the demand for performance improvement is still continuously increasing. CPU/GPU overclocking technology brings opportunities for further performance improvement in CPU-GPU heterogeneous platforms. However, CPU/GPU overclocking inevitably increases the power of the CPU/GPU, which is not conducive to energy conservation, energy efficiency optimization, or even system stability. How to effectively constrain the total energy to remain roughly unchanged during the CPU/GPU overclocking is a key issue in designing adaptive overclocking algorithms. There are two key factors during solving this key issue. Firstly, the dynamic power upper bound must be set to reflect the real-time behavior characteristics of the program so that algorithm can better meet the total energy unchanging constraints; secondly, instead of independently overclocking at both CPU and GPU sides, coordinately overclocking on CPU-GPU must be considered to adapt to real-time load balance for higher performance improvement and better energy constraints. This paper proposes an Adaptive Overclocking Algorithm (AOA) on CPU-GPU heterogeneous platforms to achieve the goal of performance improvement while the total energy remains roughly unchanged. AOA uses the function $$F_k$$ F k to describe the variable power upper bound and introduces the load imbalance factor W to realize the CPU-GPU coordinated overclocking. Through the verification of several types convolutional neural network algorithms on two CPU-GPU heterogeneous platforms (Intel$$^\circledR $$ ® Xeon E5-2660 & NVIDIA$$^\circledR $$ ® Tesla K80; Intel$$^\circledR $$ ® Core™i9-10920X & NIVIDIA$$^\circledR $$ ® GeForce RTX 2080Ti), AOA achieves an average of 10.7% performance improvement and 4.4% energy savings. To verify the effectiveness of the AOA, we compare AOA with other methods including automatic boost, the highest overclocking and static optimal overclocking.
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"Automatic White Balance (AWB)." In Computer Vision, 42. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_100141.

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"Automatic White Balance (AWB)." In Computer Vision, 73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63416-2_300147.

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"An automatic white balance algorithm based on an improved method of specular reflection." In Engineering Technology and Applications, 109–16. CRC Press, 2014. http://dx.doi.org/10.1201/b17398-16.

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Golemon, Luke, Fritz Allhoff, and T. J. Broy. "Supply Chains, Work Alternatives, and Autonomous Vehicles." In Autonomous Vehicle Ethics, 316—C19.P135. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197639191.003.0019.

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Abstract Automated vehicles promise much in the way of both economic boons and increased personal safety. For better or worse, the effects of automating personal vehicles will not be felt for some time. In contrast, the effects of automated work vehicles, like semi-trucks, will be felt much sooner—within the next decade. The costs and benefits of automation will not be distributed evenly; while most of us will be positively affected by the lower prices overall, those losing their livelihoods to the automated semi-trucks and other similar work vehicles will be much worse off. This sets up a classic distributive justice problem: how do we balance the harms and benefits of automation? In this paper, the authors recommend work alternatives: policies that the government would enact in order to ensure that each person could live a decent life even if one could not work, especially for reasons like having one’s job automated. After arguing for this position, we propose some policy guidelines.
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Freidenvall, Lenita. "Avoiding Quotas at all Costs." In Gender Equality and Policy Implementation in the Corporate World, 86–108. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780198865216.003.0005.

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This chapter assesses the adoption and implementation of voluntary measures on gender balance on the boards of listed companies in the Swedish corporate governance code. The self-regulatory approach was advocated by the corporate sector itself in order to avoid legislation on corporate gender quotas. The outcome is rather ambivalent. While the change has resulted in a gradual increase in women’s representation on corporate boards, this increase has been slow and has not yet led to gender balance. Gendered norms of equal representation of women and men in leadership positions in the economic sector have evolved. Challenges remain, and this particularly when it comes to the number of women chairpersons and CEOs. The lack of awareness of gender equality gaps among young business leaders also indicates that automatic and linear progress is not a given.
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Conference papers on the topic "Automatic white balance"

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Wang, Po-Min, and Chiou-Shann Fuh. "Automatic White Balance with Color Temperature Estimation." In 2007 Digest of Technical Papers International Conference on Consumer Electronics. IEEE, 2007. http://dx.doi.org/10.1109/icce.2007.341338.

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Jang, Seul Ki, Kyoung Tae Kim, and Choon-Woo Kim. "Automatic white balance method for cellular phone." In IS&T/SPIE Electronic Imaging, edited by Reiner Eschbach, Gabriel G. Marcu, Shoji Tominaga, and Alessandro Rizzi. SPIE, 2010. http://dx.doi.org/10.1117/12.839178.

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Fischer, Gregor, Karin Kolbe, and Matthias Sajjaa. "WhitebalPR: automatic white balance by polarized reflections." In Electronic Imaging 2008, edited by Jeffrey M. DiCarlo and Brian G. Rodricks. SPIE, 2008. http://dx.doi.org/10.1117/12.766719.

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Im, Jaehyun, Daehee Kim, Junghoon Jung, Tae-Chan Kim, and Joonki Paik. "Dark channel prior-based white point estimation for automatic white balance." In 2014 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2014. http://dx.doi.org/10.1109/icce.2014.6775936.

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Lu, Zhang. "Improved automatic white balance based on Otsu threshold." In 2012 National Conference on Computing and Communication Systems (NCCCS). IEEE, 2012. http://dx.doi.org/10.1109/ncccs.2012.6412996.

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Yang, Zhe, Lihua Tian, and Chen Li. "Gradual Shot Detection employing Automatic White Balance Method." In the 3rd International Conference. New York, New York, USA: ACM Press, 2018. http://dx.doi.org/10.1145/3220162.3220190.

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Yan, Xin-xin, Lei Zhang, Ting-yu Zhao, and Fei-hong Yu. "The research on automatic white balance for digital microscope." In International Symposium on Photoelectronic Detection and Imaging 2009, edited by Kun Zhang, Xiang-jun Wang, Guang-jun Zhang, and Ke-cong Ai. SPIE, 2009. http://dx.doi.org/10.1117/12.835316.

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Sajjaa, Matthias, and Gregor Fischer. "Automatic white balance: whitebalPR using the dichromatic reflection model." In IS&T/SPIE Electronic Imaging, edited by Brian G. Rodricks and Sabine E. Süsstrunk. SPIE, 2009. http://dx.doi.org/10.1117/12.805404.

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LI, Xu-Jian, Sheng FANG, Xiaodong YANG, and Jian ZHANG. "An Algorithm of Automatic White Balance Based on Dynamic Threshold." In Proceedings of the International Conference. World Scientific Publishing Company, 2008. http://dx.doi.org/10.1142/9789812799524_0196.

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Khalifat, Jalal, and Tughrul Arslan. "A novel Dynamic Partial Reconfiguration design for automatic white balance." In 2014 NASA/ESA Conference on Adaptive Hardware and Systems (AHS). IEEE, 2014. http://dx.doi.org/10.1109/ahs.2014.6880152.

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Reports on the topic "Automatic white balance"

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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