Academic literature on the topic 'Histogram correction'
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Journal articles on the topic "Histogram correction"
Gao, Hui-ting, Wei Liu, Hong-yan He, Bing-xian Zhang, and Cheng Jiang. "DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 311–16. http://dx.doi.org/10.5194/isprsarchives-xli-b1-311-2016.
Full textGao, Hui-ting, Wei Liu, Hong-yan He, Bing-xian Zhang, and Cheng Jiang. "DE-STRIPING FOR TDICCD REMOTE SENSING IMAGE BASED ON STATISTICAL FEATURES OF HISTOGRAM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 311–16. http://dx.doi.org/10.5194/isprs-archives-xli-b1-311-2016.
Full textHildebolt, C. F., R. K. Walkup, G. L. Conover, N. Yokoyama-Crothers, T. Q. Bartlett, M. W. Vannier, M. K. Shrout, and J. J. Camp. "Histogram-matching and histogram-flattening contrast correction methods: a comparison." Dentomaxillofacial Radiology 25, no. 1 (January 1996): 42–47. http://dx.doi.org/10.1259/dmfr.25.1.9084285.
Full textZhang, Jing, and Guang Xue Chen. "Research on the Color Correction Algorithm of Images Based on Histogram Matching." Applied Mechanics and Materials 469 (November 2013): 256–59. http://dx.doi.org/10.4028/www.scientific.net/amm.469.256.
Full textStolk, Ad, Torbjörn E. Törnqvist, Kilian P. V. Hekhuis, Henk J. A. Berendsen, and Johannes van der Plicht. "Calibration of 14C Histograms: A Comparison of Methods." Radiocarbon 36, no. 1 (1994): 1–10. http://dx.doi.org/10.1017/s0033822200014272.
Full textWand, M. P. "Correction: Data-Based Choice of Histogram Bin Width." American Statistician 53, no. 2 (May 1999): 174. http://dx.doi.org/10.2307/2685743.
Full textKholmovski, Eugene G., Andrew L. Alexander, and Dennis L. Parker. "Correction of slab boundary artifact using histogram matching." Journal of Magnetic Resonance Imaging 15, no. 5 (April 26, 2002): 610–17. http://dx.doi.org/10.1002/jmri.10094.
Full textYi, Zeguang, Nan Pan, Yi Liu, and Yu Guo. "Study of laser displacement measurement data abnormal correction algorithm." Engineering Computations 34, no. 1 (March 6, 2017): 123–33. http://dx.doi.org/10.1108/ec-10-2015-0325.
Full textKim, Seaho, and Hiseok Kim. "Luminance Correction for Stereo Images using Histogram Interval Calibration." Journal of the Institute of Electronics Engineers of Korea 50, no. 12 (December 25, 2013): 159–67. http://dx.doi.org/10.5573/ieek.2013.50.12.159.
Full textShuang, Zhang, Jin Gang, and Qin Yu-ping. "Gray Imaging Extended Target Tracking Histogram Matching Correction Method." Procedia Engineering 15 (2011): 2255–59. http://dx.doi.org/10.1016/j.proeng.2011.08.422.
Full textDissertations / Theses on the topic "Histogram correction"
Gatti, Pruthvi Venkatesh, and Krishna Teja Velugubantla. "Contrast Enhancement of Colour Images using Transform Based Gamma Correction and Histogram Equalization." Thesis, Blekinge Tekniska Högskola, Institutionen för tillämpad signalbehandling, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-14424.
Full textJirka, Roman. "Časosběrné video." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2011. http://www.nusl.cz/ntk/nusl-236934.
Full textАврунін, О. Г., V. Klymenko, A. Trubitcin, and O. Isaeva. "Development of Automated System for Video Intermatoscopy." Thesis, RS Global Sp. z O.O. Warsaw, Poland, 2019. http://openarchive.nure.ua/handle/document/7884.
Full textNilsson, Linus. "Quality and real-time performance assessment of color-correction methods : A comparison between histogram-based prefiltering and global color transfer." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33877.
Full textPehrson, Skidén Ottar. "Automatic Exposure Correction And Local Contrast Setting For Diagnostic Viewing of Medical X-ray Images." Thesis, Linköping University, Department of Biomedical Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-56630.
Full textTo properly display digital X-ray images for visual diagnosis, a proper display range needs to be identified. This can be difficult when the image contains collimators or large background areas which can dominate the histograms. Also, when there are both underexposed and overexposed areas in the image it is difficult to display these properly at the same time. The purpose of this thesis is to find a way to solve these problems. A few different approaches are evaluated to find their strengths and weaknesses. Based on Local Histogram Equalization, a new method is developed to put various constraints on the mapping. These include alternative ways to perform the histogram calculations and how to define the local histograms. The new method also includes collimator detection and background suppression to keep irrelevant parts of the image out of the calculations. Results show that the new method enables proper display of both underexposed and overexposed areas in the image simultaneously while maintaining the natural look of the image. More testing is required to find appropriate parameters for various image types.
Langhi, Paula J. Piloto. "Ajuste radiométrico de imagens aéreas digitais /." Presidente Prudente : [s.n.], 2009. http://hdl.handle.net/11449/86772.
Full textBanca: Aluir Porfírio Dal Poz
Banca: Edson Aparecido Mitishita
Resumo: As diferenças radiométricas entre áreas homólogas de imagens aéreas digitais são causadas por vários fatores e afetam os processos fotogramétricos, como a correspondência e a mosaicagem. Para que as imagens possam ser melhoradas, alguns procedimentos como correção geométrica e radiométrica são aplicados, sendo a correção radiométrica o tema de estudo deste trabalho. O processo de correção radiométrica em imagens aéreas digitais tem como principal objetivo tornar semelhantes os histogramas de imagens que possuam sobreposição, facilitando os processos posteriores de correspondência de pontos homólogos e a formação de mosaicos. O método proposto neste trabalho realiza em duas etapas a correção radiométrica para um bloco de imagens aéreas digitais. A primeira etapa é um processamento global, baseado nos dados dos histogramas. A segunda etapa é uma correção local, que pode ser realizada através de dois métodos estudados, sendo que o primeiro trata a interpolação dos valores de correção à partir de regiões homólogas, possibilitando a correção radiométrica da região de sobreposição das imagens; e o segundo método utiliza o ajuste de uma superfície parabolóide às diferenças radiométricas entre imagens, fornecendo, posteriormente, valores de correção para toda a imagem. Para realizar os processos descritos acima, foi implementado um programa em linguagem C, o qual realiza o ajuste local a partir de pontos correspondentes. Alguns experimentos foram realizados, utilizando três blocos de imagens aéreas obtidas com câmeras digitais Hasselblad de 22 e 39 megapixels, respectivamente, os quais apresentaram resultados satisfatórios.
Abstract: Radiometric differences between homologous areas in digital aerial imagens are caused by several factors and affect the photogrammetric processes like correspondence and mosaicking. In order to enhance those images, some procedures like geometric and radiometric corrections can be applied, the last being the aim of this work. The process of radiometric adjustment in digital aerial images aim at to make similar the histograms of overlapping images, favoring the processes of correspondence and mosaicking formation. The method proposed in this work is performed in two stages: firstly a global processing based on the histograms data and secondly a local strategy, for which two methods were studied. The first is an interpolation of correction values corresponding to the radiometric differences in the overlapping images. The second method for the local adjustment uses surface adjustment in order to correct the differences in the corresponding regions. In order to assess the proposed methodology, a program in C language was implemented to perform the local adjustment based on some corresponding points. Some experiments were accomplished, using three blocks of aerial images taken with 22 and 39 megapixels digital cameras, and good results were achieved.
Mestre
Langhi, Paula J. Piloto [UNESP]. "Ajuste radiométrico de imagens aéreas digitais." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/86772.
Full textConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
As diferenças radiométricas entre áreas homólogas de imagens aéreas digitais são causadas por vários fatores e afetam os processos fotogramétricos, como a correspondência e a mosaicagem. Para que as imagens possam ser melhoradas, alguns procedimentos como correção geométrica e radiométrica são aplicados, sendo a correção radiométrica o tema de estudo deste trabalho. O processo de correção radiométrica em imagens aéreas digitais tem como principal objetivo tornar semelhantes os histogramas de imagens que possuam sobreposição, facilitando os processos posteriores de correspondência de pontos homólogos e a formação de mosaicos. O método proposto neste trabalho realiza em duas etapas a correção radiométrica para um bloco de imagens aéreas digitais. A primeira etapa é um processamento global, baseado nos dados dos histogramas. A segunda etapa é uma correção local, que pode ser realizada através de dois métodos estudados, sendo que o primeiro trata a interpolação dos valores de correção à partir de regiões homólogas, possibilitando a correção radiométrica da região de sobreposição das imagens; e o segundo método utiliza o ajuste de uma superfície parabolóide às diferenças radiométricas entre imagens, fornecendo, posteriormente, valores de correção para toda a imagem. Para realizar os processos descritos acima, foi implementado um programa em linguagem C, o qual realiza o ajuste local a partir de pontos correspondentes. Alguns experimentos foram realizados, utilizando três blocos de imagens aéreas obtidas com câmeras digitais Hasselblad de 22 e 39 megapixels, respectivamente, os quais apresentaram resultados satisfatórios.
Radiometric differences between homologous areas in digital aerial imagens are caused by several factors and affect the photogrammetric processes like correspondence and mosaicking. In order to enhance those images, some procedures like geometric and radiometric corrections can be applied, the last being the aim of this work. The process of radiometric adjustment in digital aerial images aim at to make similar the histograms of overlapping images, favoring the processes of correspondence and mosaicking formation. The method proposed in this work is performed in two stages: firstly a global processing based on the histograms data and secondly a local strategy, for which two methods were studied. The first is an interpolation of correction values corresponding to the radiometric differences in the overlapping images. The second method for the local adjustment uses surface adjustment in order to correct the differences in the corresponding regions. In order to assess the proposed methodology, a program in C language was implemented to perform the local adjustment based on some corresponding points. Some experiments were accomplished, using three blocks of aerial images taken with 22 and 39 megapixels digital cameras, and good results were achieved.
Lin, Jun-Yu, and 林俊宇. "Defect correction algorithms for the Image Histogram." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/17225215578480383870.
Full text僑光科技大學
資訊科技研究所
101
The development and progress of modern video imaging technology is not only limited to imaging itself. It has also led to the development of panel display technology with the resolution of electronic devices becoming more and more detailed, with an increasingly wider colour gamut and colour accuracy becoming higher and higher. Hence the requirement for details of the colour image information has increased. However, due to the improper use of image processing technology or a lack of detailed calculation, these often cause the loss of detailed image or colour information. The main purpose of this paper is to provide a new algorithm which can repair the gradation of the image when detailed information is lost by calculations; re-patching the missing colour information so that the colour information of the image can be recovered with as much detail as possible. The image would then have better visual display for screen display or on print.
Book chapters on the topic "Histogram correction"
bt Shamsuddin, Norsila, Wan Fatimah bt Wan Ahmad, Baharum b Baharudin, Mohd Kushairi b Mohd Rajuddin, and Farahwahida bt Mohd. "Image Enhancement of Underwater Habitat Using Color Correction Based on Histogram." In Lecture Notes in Computer Science, 289–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25191-7_28.
Full textSingh, Himanshu, Anil Kumar, and L. K. Balyan. "Robustly Clipped Sub-equalized Histogram-Based Cosine-Transformed Energy-Redistributed Gamma Correction for Satellite Image Enhancement." In Proceedings of 3rd International Conference on Computer Vision and Image Processing, 483–95. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9291-8_38.
Full textRajesh T. M., Kavyashree Dalawai, and Pradeep N. "Automatic Data Acquisition and Spot Disease Identification System in Plants Pathology Domain." In Modern Techniques for Agricultural Disease Management and Crop Yield Prediction, 111–41. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9632-5.ch006.
Full textJindal, Sumit Kumar, Sayak Banerjee, Ritayan Patra, and Arin Paul. "Deep learning-based brain malignant neoplasm classification using MRI image segmentation assisted by bias field correction and histogram equalization." In Brain Tumor MRI Image Segmentation Using Deep Learning Techniques, 135–61. Elsevier, 2022. http://dx.doi.org/10.1016/b978-0-323-91171-9.00008-9.
Full text"Correcting a weak histogram." In Photoshop CS: Essential Skills, 68–70. Routledge, 2004. http://dx.doi.org/10.4324/9780080479996-29.
Full textConference papers on the topic "Histogram correction"
Pukhova, Ekaterina, and Vladislav Vereshchagin. "Compensation of defects in printing process with histogram methods." In 10th International Symposium on Graphic Engineering and Design. University of Novi Sad, Faculty of technical sciences, Department of graphic engineering and design,, 2020. http://dx.doi.org/10.24867/grid-2020-p41.
Full textKyriakou, Y., M. Meyer, R. Lapp, and W. A. Kalender. "Histogram-driven cupping correction (HDCC) in CT." In SPIE Medical Imaging. SPIE, 2010. http://dx.doi.org/10.1117/12.844206.
Full textChan-Su Park, Hi-Seok Kim, and Hyeong-Woo Cha. "Histogram color correction for multi-view video cording." In 2014 International SoC Design Conference (ISOCC). IEEE, 2014. http://dx.doi.org/10.1109/isocc.2014.7087633.
Full textZhang, Dongni, Won-Jae Park, Seung-Jun Lee, Kang-A. Choi, and Sung-Jea Ko. "Histogram partition based gamma correction for image contrast enhancement." In 2012 IEEE 16th International Symposium on Consumer Electronics - (ISCE 2012). IEEE, 2012. http://dx.doi.org/10.1109/isce.2012.6241687.
Full textAn, Qinghao, Jianjie Shi, Jinping Li, and Fudong Cai. "Elevator button recognition using auto-slant correction and projection histogram." In 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2017. http://dx.doi.org/10.1109/cisp-bmei.2017.8302054.
Full textJing, Yang, and Cao Shi. "The Goal Matching Algorithm Histogram-Based Color Correction and Space." In 2013 Fourth International Conference on Digital Manufacturing & Automation (ICDMA). IEEE, 2013. http://dx.doi.org/10.1109/icdma.2013.349.
Full textVancea, Cristian-Cosmin, Vlad-Cristian Miclea, and Sergiu Nedevschi. "Improving stereo reconstruction by sub-pixel correction using histogram matching." In 2016 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2016. http://dx.doi.org/10.1109/ivs.2016.7535407.
Full textChen, Yibin, Kai-Kuang Ma, and Canhui Cai. "Histogram-offset-based color correction for multi-view video coding." In 2010 17th IEEE International Conference on Image Processing (ICIP 2010). IEEE, 2010. http://dx.doi.org/10.1109/icip.2010.5650032.
Full textDutta, Ayan, and Biswajit Kar. "Baseline drift correction and heart rate estimation using Histogram technique." In 2017 International Conference on Innovations in Electronics, Signal Processing and Communication (IESC). IEEE, 2017. http://dx.doi.org/10.1109/iespc.2017.8071876.
Full textYi Liu, Yongfang Wang, and Zhaoyang Zhang. "Color correction method based on histogram segmentation for multiview video." In IET International Communication Conference on Wireless Mobile & Computing (CCWMC 2009). IET, 2009. http://dx.doi.org/10.1049/cp.2009.2009.
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