Relevant bibliographies by topics / Image distortion

Contents

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

Academic literature on the topic 'Image distortion'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Image distortion"

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Pollak, C., T. Stubbings, and H. Hutter. "Differential Image Distortion Correction." Microscopy and Microanalysis 7, no. 4 (2001): 335–40. http://dx.doi.org/10.1007/s10005-001-0007-1.

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AbstractImaging techniques often suffer from distortion effects. Former methods of reducing these distortions have been based either on improving the imaging technique (i.e., to avoid distortions) or on the use of reference samples (i.e., to determine the distortion field by imaging of a known structure. We present a novel method of correcting image distortion by evaluating the imaged position changes due to two small sample position shifts. The algorithm allows us to calculate a vector field, which enables us to determine the “undistorted” position of any point of the image. The presented met
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Chen, Xiaohong, Qian Sun, and Jun Hu. "Generation of Complete SAR Geometric Distortion Maps Based on DEM and Neighbor Gradient Algorithm." Applied Sciences 8, no. 11 (2018): 2206. http://dx.doi.org/10.3390/app8112206.

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Radar-specific imaging geometric distortions (including foreshortening, layover, and shadow) that occur in synthetic aperture radar (SAR) images acquired over mountainous areas have a negative impact on the suitability of the interferometric SAR (InSAR) technique to monitor landslides. To address this issue, many distortion simulation methods have been presented to predict the areas in which distortions will occur before processing the SAR image. However, the layover and shadow regions are constituted by active as well as passive subregions. Since passive distortions are caused by active disto
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Ekpar, Frank, Masaaki Yoneda, and Hiroyuki Hase. "Correcting Distortions in Panoramic Images Using Constructive Neural Networks." International Journal of Neural Systems 13, no. 04 (2003): 239–50. http://dx.doi.org/10.1142/s0129065703001601.

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This paper presents a novel approach to the correction of panoramic (wide-angle) image distortions. Unlike traditional methods that separate the distortion of the panoramic image into radial and tangential components and then concentrate on the correction of one type of distortion at a time, the method presented in this paper uses an integrated approach that simultaneously corrects all non-linear distortions of the panoramic image. The system uses data obtained from carefully constructed calibration patterns to automatically build and train a constructive neural network of suitable complexity
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Asatryan, D. G., M. E. Harutyunyan, Y. I. Golub, and V. V. Starovoitov. "Influence of the distortion type on the image quality assessment when reducing its sizes." «System analysis and applied information science», no. 3 (September 25, 2020): 22–27. http://dx.doi.org/10.21122/2309-4923-2020-3-22-27.

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In this paper, the influence of various types of distortion of an image on its quality while reducing its sizes, is investigated. To assess the image quality, it is proposed to use the method of comparison with the standard using a previously developed measure based on the proximity of the values of the parameters of the Weibull distribution, which describes the gradient field of the image. The well-known TID2013 image database was used as the material, which includes 3000 images distorted by 24 types of distorting algorithms with five levels. Each image of the base was reduced by 2, 4 and 8 t
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Jung, Young-Hwa, Gyuho Kim, and Woo Sik Yoo. "Study on Distortion Compensation of Underwater Archaeological Images Acquired through a Fisheye Lens and Practical Suggestions for Underwater Photography - A Case of Taean Mado Shipwreck No. 1 and No. 2 -." Journal of Conservation Science 37, no. 4 (2021): 312–21. http://dx.doi.org/10.12654/jcs.2021.37.4.01.

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Underwater archaeology relies heavily on photography and video image recording during surveillances and excavations like ordinary archaeological studies on land. All underwater images suffer poor image quality and distortions due to poor visibility, low contrast and blur, caused by differences in refractive indices of water and air, properties of selected lenses and shapes of viewports. In the Yellow Sea (between mainland China and the Korean peninsula), the visibility underwater is far less than 1 m, typically in the range of 30 cm to 50 cm, on even a clear day, due to very high turbidity. Fo
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Peng, Fu Qiang, Qiang Chen, and Jun Wei Bao. "Distortion Correction for the Gun Barrel Bore Panoramic Image." Applied Mechanics and Materials 427-429 (September 2013): 680–85. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.680.

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Single Reflector Panoramic Imaging System (SRPIS) has been widely used because of its advantages such as simple structure, fast imaging, integration and miniaturization. It can observe objects around the reflector mirror, which fits for the quality inspection of gun barrel bore. However, its images often suffer from serious distortions in radial and tangential directions. Therefore, to ensure the accuracy of captured images, distortion must be eliminated. In this paper, a distortion correction method is proposed based on the imaging characteristics of SRPIS. Firstly the relationship between th
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Belov, A. M., and A. Y. Denisova. "Scene distortion detection algorithm using multitemporal remote sensing images." Computer Optics 43, no. 5 (2019): 869–85. http://dx.doi.org/10.18287/2412-6179-2019-43-5-869-885.

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Multitemporal remote sensing images of a particular territory might include accidental scene distortions. Scene distortion is a significant local brightness change caused by the scene overlap with some opaque object or a natural phenomenon coincident with the moment of image capture, for example, clouds and shadows. The fact that different images of the scene are obtained at different instants of time makes the appearance, location and shape of scene distortions accidental. In this article we propose an algorithm for detecting accidental scene distortions using a dataset of multitemporal remot
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Saifeldeen, Abdalmajeed, Shu Hong Jiao, and Wei Liu. "Entirely Blind Image Quality Assessment Estimator." Applied Mechanics and Materials 543-547 (March 2014): 2496–99. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2496.

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Prior knowledge about anticipated distortions and their corresponding human opinion scores is needed in the most general purpose no-reference image quality assessment algorithms. When creating the model, all distortion types may not be existed. Predicting the quality of distorted images in practical no-reference image quality assessment algorithms is devised without prior knowledge about images or their distortions. In this study, a blind/no-reference opinion and distortion unaware image quality assessment algorithm based on natural scenes is developed. The proposed approach uses a set of nove
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Yahanda, Alexander T., Timothy J. Goble, Peter T. Sylvester, et al. "Impact of 3-Dimensional Versus 2-Dimensional Image Distortion Correction on Stereotactic Neurosurgical Navigation Image Fusion Reliability for Images Acquired With Intraoperative Magnetic Resonance Imaging." Operative Neurosurgery 19, no. 5 (2020): 599–607. http://dx.doi.org/10.1093/ons/opaa152.

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Abstract BACKGROUND Fusion of preoperative and intraoperative magnetic resonance imaging (iMRI) studies during stereotactic navigation may be very useful for procedures such as tumor resections but can be subject to error because of image distortion. OBJECTIVE To assess the impact of 3-dimensional (3D) vs 2-dimensional (2D) image distortion correction on the accuracy of auto-merge image fusion for stereotactic neurosurgical images acquired with iMRI using a head phantom in different surgical positions. METHODS T1-weighted intraoperative images of the head phantom were obtained using 1.5T iMRI.
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Archip, Neculai, Olivier Clatz, Stephen Whalen, et al. "Compensation of Geometric Distortion Effects on Intraoperative Magnetic Resonance Imaging for Enhanced Visualization in Image-guided Neurosurgery." Operative Neurosurgery 62, suppl_1 (2008): ONS209—ONS216. http://dx.doi.org/10.1227/01.neu.0000317395.08466.e6.

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Abstract Objective: Preoperative magnetic resonance imaging (MRI), functional MRI, diffusion tensor MRI, magnetic resonance spectroscopy, and positron-emission tomographic scans may be aligned to intraoperative MRI to enhance visualization and navigation during image-guided neurosurgery. However, several effects (both machine- and patient-induced distortions) lead to significant geometric distortion of intraoperative MRI. Therefore, a precise alignment of these image modalities requires correction of the geometric distortion. We propose and evaluate a novel method to compensate for the geometr
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Dissertations / Theses on the topic "Image distortion"

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Kim, Younhee. "Towards lower bounds on distortion in information hiding." Fairfax, VA : George Mason University, 2008. http://hdl.handle.net/1920/3403.

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Thesis (Ph.D.)--George Mason University, 2008.<br>Vita: p. 133. Thesis directors: Zoran Duric, Dana Richards. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science. Title from PDF t.p. (viewed Mar. 17, 2009). Includes bibliographical references (p. 127-132). Also issued in print.
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Harper, Bernard. "Body image distortion in photography." Thesis, University of Liverpool, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433029.

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Brown, Alec J. "Ipsative Score Distortion on Affinity 2.0." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1119.pdf.

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Koivula, A. (Antero). "Magnetic resonance image distortions due to artificial macroscopic objects:an example: correction of image distortion caused by an artificial hip prosthesis." Doctoral thesis, University of Oulu, 2002. http://urn.fi/urn:isbn:951426827X.

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Abstract Eddy currents and susceptibility differences are the most important sources that interfere with the quality of MR images in the presence of an artificial macroscopic object in the volume to be imaged. In this study, both of these factors have been examined. The findings show that the RF field is the most important cause of induced eddy currents when gradients with relatively slow slew rates are used. The induced eddy currents amplify or dampen the RF field with the result that the flip angle changes. At the proximal end in the vicinity of the hip prosthesis surface, there hav
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Kadaikar, Aysha-Khatoon. "Optimization of the Rate-Distortion Compromise for Stereoscopic Image Coding using Joint Entropy-Distortion Metric." Thesis, Sorbonne Paris Cité, 2017. http://www.theses.fr/2017USPCD083/document.

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Ces dernières décennies ont vu émerger de nombreuses applications utilisant la technologie 3D, telles que les écrans auto-stéréoscopiques, les écrans de télévisions 3D ou encore la visio-conférence stéréoscopique. Ces applications requièrent des techniques adaptées afin que leur flux de données soit compressé efficacement. En particulier, dans le cas des images stéréoscopiques, ces dernières étant composées de deux vues de la même scène, elles nécessitent à ce titre deux fois plus d’informations à transmettre ou à stocker que dans le cas des images 2D traditionnelles. Nos travaux se situent dans l
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Madsen, Jeffrey B. "Males' ipsative score distortion on Affinity 2.0 /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2479.pdf.

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Mendes, Pedro Mota. "Correction of spatial distortion in magnetic resonance imaging." Master's thesis, Faculdade de Ciências e Tecnologia, 2011. http://hdl.handle.net/10362/6333.

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Dissertation to Obtain the Degree of Master in Biomedical Engineering<br>Magnetic Resonance Imaging (MRI) has been a major investigation and research focus among scientific and medical communities. So, new hardware with superior magnetic fields and faster sequences has been developed. However, these improvements result in intensity and spatial distortions, particularly in fast sequences, as Echo Plana Imaging (EPI), used in functional and diffusion-weighed MRI (fMRI and DW-MRI). Therefore, correction of spatial distortion is useful to obtain a higher quality in this kind of images. This pr
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Candan, Cagatay. "Minimum Distortion Data Hiding for Compressed Images." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5140.

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We present a novel data hiding method for compressed images. The method is designed to minimize the quality loss associated with data embedding into a JPEG image. The described technique uses the objective criterion such as the mean square error and the human visual system based criterion such as the Just Noticable Distortion metric for distortion minimization. The hiding method is designed under the restrictions of the JPEG compression standard to develop new image applications without any modifications or additions to the existing standard. An application example is presented in the thesis.
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Tao, Yegang. "Distortion-constraint compression of three-dimensional CLSM images using image pyramid and vector quantization." Thesis, University of Glasgow, 2005. http://theses.gla.ac.uk/4926/.

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The confocal microscopy imaging techniques, which allow optical sectioning, have been successfully exploited in biomedical studies. Biomedical scientists can benefit from more realistic visualization and much more accurate diagnosis by processing and analysing on a three-dimensional image data. The lack of efficient image compression standards makes such large volumetric image data slow to transfer over limited bandwidth networks. It also imposes large storage space requirements and high cost in archiving and maintenance. Conventional two-dimensional image coders do not take into account inter
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Burcher, Michael. "A force-based method for correcting deformation in ultrasound images of the breast." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269952.

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Books on the topic "Image distortion"

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Koide, Reiko. Body Image Deviation in Chronic Schizophrenia. Nova Science Publishers, 2008.

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Olsen, V. Norskov. Man, the image of God: The divine design, the human distortion. Review and Herald Pub. Association, 1988.

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Schuster, Guido M. Rate-distortion based video compression: Optimal video frame compression and object boundary encoding. Kluwer Academic Publishers, 1997.

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M, Rangayyan Rangaraj, and Desautels J. E. Leo, eds. Analysis of oriented texture: With applications to the detection of architectural distortion in mammograms. Morgan & Claypool, 2011.

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Mark, Smith A., ed. Alhacen on image-formation and distortion in mirrors: A critical edition, with English translation and commentary, of book 6 of Alhacen's De Aspectibus. American Philosophical Society, 2008.

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Dailey, Denton J. Electronics for Guitarists. 2nd ed. Springer New York, 2013.

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The Crusades: Then and now : seeking the truth beneath the maze of distortions and image-making, using non-Muslim sources exclusively, from the birth of "revealed" religions to today's Albania, Algeria, Azerbaijan, Bosnia, Chechnya, Egypt, Iran, Iraq, Lebanon, Libya, Malaysia, Palestine, Syria, Turkey, etc. 2nd ed. First Amendment Publishers, 2004.

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Distortion of Nature's Image: Reification and the Ecological Crisis. State University of New York Press, 2019.

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Durand, Melissa A. Architectural Distortion (Cancer). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0029.

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An architectural distortion (AD) is an alteration of the breast parenchyma, which results in radiating lines or spicules emanating from a point without a distinct mass. It can occur as the primary finding, or it may be an associated feature of a mass, asymmetry, or calcifications. AD is a mammographic finding with a high positive predictive value for malignancy and is a major cause of false-negative screening exams. This chapter, appearing in the section on asymmetry, mass, and distortion, reviews the key imaging and clinical features, imaging protocols, differential diagnoses, management reco
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Butler, Reni S. Architectural Distortion (Radial Scar). Edited by Christoph I. Lee, Constance D. Lehman, and Lawrence W. Bassett. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190270261.003.0030.

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Radial scars are benign lesions of the breast characterized pathologically by a fibroelastic core containing entrapped ducts and lobules that radiate outwards in a stellate pattern. This chapter, highlighting radial scar as a cause of architectural distortion, reviews its imaging features and differential diagnosis on mammography, digital breast tomosynthesis, ultrasound, and MRI; its diagnostic workup using multiple modalities; and its histological confirmation with image-guided core needle biopsy. The particular challenge of radial scar presenting as architectural distortion seen only with t
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Book chapters on the topic "Image distortion"

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Inan, Yucel. "Comparing Image Distortion of LSB." In 13th International Conference on Theory and Application of Fuzzy Systems and Soft Computing — ICAFS-2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04164-9_14.

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Mesmoudi, Mohammed Mostefa, Leila De Floriani, and Paola Magillo. "Discrete Distortion for Surface Meshes." In Image Analysis and Processing – ICIAP 2009. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04146-4_70.

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Li, Shanshan, Jiang’an Wang, and Bayi Qu. "Image Scrambling Based on Linear Distortion." In Lecture Notes in Electrical Engineering. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4981-2_247.

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Weng, Li, and Bart Preneel. "Image Distortion Estimation by Hash Comparison." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17832-0_7.

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Netsch, Thomas, and Arianne van Muiswinkel. "Image Registration for Distortion Correction in Diffusion Tensor Imaging." In Biomedical Image Registration. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39701-4_18.

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Gadermayr, Michael, Andreas Uhl, and Andreas Vécsei. "Distortion Adaptive Image Classification – An Alternative to Barrel-Type Distortion Correction." In Advances in Visual Computing. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41939-3_45.

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Aamodt, L. C., J. C. Murphy, and J. W. Maclachlan. "Image Distortion in Optical-Beam-Deflection Imaging." In Photoacoustic and Photothermal Phenomena. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-540-48181-2_101.

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Iancu, Claudia, Inge Gavat, and Mihai Datcu. "Image Disorder Characterization Based on Rate Distortion." In Current Topics in Artificial Intelligence. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11881216_28.

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Do, Yongtae, and Myounghwan Kim. "Learning Image Distortion Using a GMDH Network." In Advances in Neural Networks - ISNN 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11760023_82.

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Bukhari, Faisal, and Matthew N. Dailey. "Robust Radial Distortion from a Single Image." In Advances in Visual Computing. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17274-8_2.

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Conference papers on the topic "Image distortion"

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Teo, Patrick C., and David J. Heeger. "Perceptual image distortion." In IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, edited by Bernice E. Rogowitz and Jan P. Allebach. SPIE, 1994. http://dx.doi.org/10.1117/12.172664.

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Kalenova, D., P. Toivanen, and V. Botchko. "Spectral image distortion map." In Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004. IEEE, 2004. http://dx.doi.org/10.1109/icpr.2004.1334257.

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Liang, Chia-Kai, Yu-Chun Peng, and Homer Chen. "Rolling shutter distortion correction." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.632671.

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Guan, Jingwei, and Wai-kuen Cham. "Distortion based image quality index." In 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2016. http://dx.doi.org/10.1109/apsipa.2016.7820899.

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da Silva, Renam C., and Vanessa Testoni. "Distortion scalable learned image compression." In 2019 IEEE 21st International Workshop on Multimedia Signal Processing (MMSP). IEEE, 2019. http://dx.doi.org/10.1109/mmsp.2019.8901769.

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Gustafson, Steven C., Vasiliki E. Nikolaou, and Farid Ahmed. "Image smoothing with minimal distortion." In SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, edited by Friedrich O. Huck and Richard D. Juday. SPIE, 1995. http://dx.doi.org/10.1117/12.211975.

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Zhao, Qiang, Chen Zhu, Feng Dai, Yike Ma, Guoqing Jin, and Yongdong Zhang. "Distortion-aware CNNs for Spherical Images." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/167.

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Convolutional neural networks are widely used in computer vision applications. Although they have achieved great success, these networks can not be applied to 360 spherical images directly due to varying distortion effect. In this paper, we present distortion-aware convolutional network for spherical images. For each pixel, our network samples a non-regular grid based on its distortion level, and convolves the sampled grid using square kernels shared by all pixels. The network successively approximates large image patches from different tangent planes of viewing sphere with small local samplin
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Bhowmik, D., and C. Abhayaratne. "Distortion constrained robustness scalable watermarking." In IET Conference on Image Processing (IPR 2012). IET, 2012. http://dx.doi.org/10.1049/cp.2012.0434.

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Holub, Vojtěch, and Jessica Fridrich. "Digital image steganography using universal distortion." In the first ACM workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2482513.2482514.

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Schwartzman, Armin, Marina Alterman, Rotem Zamir, and Yoav Y. Schechner. "Turbulence-induced 2D correlated image distortion." In 2017 IEEE International Conference on Computational Photography (ICCP). IEEE, 2017. http://dx.doi.org/10.1109/iccphot.2017.7951490.

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Reports on the topic "Image distortion"

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Stelmakh, Marta. HISTORICAL CONTEXT IN THE COLLECTION OF ARTICLES BY TIMOTHY SNYDER «UKRAINIAN HISTORY, RUSSIAN POLITICS, EUROPEAN FUTURE». Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11098.

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The article examines the problem of the image formation of Ukraine in the international arena in the historical journalism of Timothy Snyder. The subject of the research is the historical context in the journalistic collection «Ukrainian History, Russian Politics, European Future». It identifies the main considerations of the author on the past of Russian-Ukrainian relations and the need to develop historical consciousness in the fight against Russian manipulation. Methodology: the comparative, historical, system analysis and other methods are used in the process of scientific research. The re
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Rosen, David. Methods for Correcting Topographically Induced Radiometric Distortion on Landsat Thematic Mapper Images for Land Cover Classification. Portland State University Library, 2000. http://dx.doi.org/10.15760/geogmaster.12.

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