Relevant bibliographies by topics / Color correction

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
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Academic literature on the topic 'Color correction'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Color correction"

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Menon, Nidhi, David Beery, Prava Sharma, et al. "Development of a smartphone enabled, paper-based quantitative diagnostic assay using the HueDx color correction system." PLOS ONE 19, no. 10 (2024): e0311343. http://dx.doi.org/10.1371/journal.pone.0311343.

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Color correction is an important methodology where a digital image’s colors undergo a transformation to more accurately represent their appearance using a predefined set of illumination conditions. Colorimetric measurements in diagnostics are sensitive to very small changes in colors and therefore require consistent, reproducible illumination conditions to produce accurate results, making color correction a necessity. This paper presents an image color correction pipeline developed by HueDx, Inc., using transfer algorithms that improve upon existing methodologies and demonstrates real-world ap
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Bohdan, Kovalskyi, Dubnevych Myroslava, Holubnyk Tetyana, Pysanchyn Nadiia, and Havrysh Bohdana. "DEVELOPMENT OF A TECHNOLOGY FOR ELIMINATING COLOR RENDERING IMPERFECTIONS IN DIGITAL PHOTOGRAPHIC IMAGES." Eastern-European Journal of Enterprise Technologies 1, no. 2 (97) (2019): 40–47. https://doi.org/10.15587/1729-4061.2019.154512.

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Complexity of integrating color control systems into a workflow for obtaining digital half-tone images results in appearance of color rendering imperfections in photographic images as exposure conditions constantly vary in power and spectral composition of radiation. A wide range of corrective means in graphic editors does not ensure full elimination of color rendering imperfections in photographic images because of imperfect technical approaches to realization of the corrective effect. The process of correcting color rendering imperfections is complicated by the lack of methods for objective
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Akazawa, Teruaki, Yuma Kinoshita, Sayaka Shiota, and Hitoshi Kiya. "Three-Color Balancing for Color Constancy Correction." Journal of Imaging 7, no. 10 (2021): 207. http://dx.doi.org/10.3390/jimaging7100207.

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This paper presents a three-color balance adjustment for color constancy correction. White balancing is a typical adjustment for color constancy in an image, but there are still lighting effects on colors other than white. Cheng et al. proposed multi-color balancing to improve the performance of white balancing by mapping multiple target colors into corresponding ground truth colors. However, there are still three problems that have not been discussed: choosing the number of target colors, selecting target colors, and minimizing error which causes computational complexity to increase. In this
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Dal’Col, Lucas, Daniel Coelho, Tiago Madeira, Paulo Dias, and Miguel Oliveira. "A Sequential Color Correction Approach for Texture Mapping of 3D Meshes." Sensors 23, no. 2 (2023): 607. http://dx.doi.org/10.3390/s23020607.

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Texture mapping can be defined as the colorization of a 3D mesh using one or multiple images. In the case of multiple images, this process often results in textured meshes with unappealing visual artifacts, known as texture seams, caused by the lack of color similarity between the images. The main goal of this work is to create textured meshes free of texture seams by color correcting all the images used. We propose a novel color-correction approach, called sequential pairwise color correction, capable of color correcting multiple images from the same scene, using a pairwise-based method. This
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Finlayson, GrahamD, Han Gong, and RobertB Fisher. "Color Homography Color Correction." Color and Imaging Conference 2016, no. 1 (2016): 310–14. http://dx.doi.org/10.2352/issn.2169-2629.2017.32.310.

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Shirai, Keiichiro, Tatsuya Baba, Shunsuke Ono, Masahiro Okuda, Yusuke Tatesumi, and Paul Perrotin. "Guided Facial Skin Color Correction." Signals 2, no. 3 (2021): 540–58. http://dx.doi.org/10.3390/signals2030033.

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This paper proposes an automatic image correction method for portrait photographs, which promotes consistency of facial skin color by suppressing skin color changes due to background colors. In portrait photographs, skin color is often distorted due to the lighting environment (e.g., light reflected from a colored background wall and over-exposure by a camera strobe). This color distortion is emphasized when artificially synthesized with another background color, and the appearance becomes unnatural. In our framework, we, first, roughly extract the face region and rectify the skin color distri
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Dody, Qori Utama, Latifah R. Mengko Tati, Mengko Richard, Prahasta Gandasubrata Andika, and Nur Azhar Tauhid. "RGB Color Cluster and Graph Coloring Algorithm for Partial Color Blind Correction." MATEC Web of Conferences 255 (2019): 01002. http://dx.doi.org/10.1051/matecconf/201925501002.

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Partial color blindness is an anomaly occurring to 5-8% of the world's population. Color correction using re-coloring algorithm usually can be used to help partial color blindness patient. One of the existing re-coloring techniques is to use the RGB color cluster technique and combine it by utilizing the brute force algorithm to perform color tracing for correcting the color. It has massive time and memory complexity. This research aims to create a correction technique for color blind people using RGB Color Cluster combined with Graph Coloring Algorithm. The first process is to get the RGB col
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Elrefaei, Lamiaa A. "Smartphone Based Image Color Correction for Color Blindness." International Journal of Interactive Mobile Technologies (iJIM) 12, no. 3 (2018): 104. http://dx.doi.org/10.3991/ijim.v12i3.8160.

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<p class="0abstract">Color blind is a type of Color Vision Deficiency, which is the inability that a person could not realize the differences between some colors. There are three types of color blindness: Monochromacy, Dichromacy, and Anomalous Trichromacy. Color blind cannot be cured. Today, technology gets up with solutions to help people with color blindness to see the image and distinguish between the different colors using some algorithms. This paper presents a smartphone based experimental comparison of color correction algorithms for Dichromacy color-blind viewers. This comparison
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Abugova, T. D. "Color testing and color correction." EYE GLAZ 23, no. 1 (2021): 53–58. http://dx.doi.org/10.33791/2222-4408-2021-1-53-58.

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Kharkevich, M. V., O. A. Basova, and I. A. Konovalenko. "Computationally efficient adaptive color correction." Sensornye sistemy 38, no. 4 (2024): 78–84. https://doi.org/10.31857/s0235009224040077.

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To obtain a photo that reproduces the original scene as accurately as possible, it is necessary to solve the problem of color correction, that is, to find a mapping that translates the coordinates of the camera color space (RGB) into the coordinates of the human color space (CIE XYZ). In this article, we consider color correction using lookup tables, pre-built for various lighting conditions. This approach allows you to achieve high speed and accuracy when applying color correction on the device, but requires large amounts of RAM, which, for example, mobile phones do not have. We propose a met
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Dissertations / Theses on the topic "Color correction"

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Pateman, Vanessa. "Color correction for underwater photography /." Click here to view, 2009. http://digitalcommons.calpoly.edu/grcsp/11.

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Thesis (B.S.)--California Polytechnic State University, 2009.<br>Project advisor: Brian Lawler. Title from PDF title page; viewed on Jan. 20, 2010. Includes bibliographical references. Also available on microfiche.
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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 co
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Kanj, Ali. "Flicker Removal and Color Correction for High Speed Videos." Thesis, Paris Est, 2017. http://www.theses.fr/2017PESC1115/document.

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Le deflickering consiste à supprimer le scintillement présent dans les séquences d’images afin de réduire les variations lumineuses entre chacune des images de la vidéo. Il s’agit d’une tâche essentielle, nécessaire dans plusieurs applications, en particulier dans les séquences de films archivés, les vidéos comprimées et les vidéos time-lapse. Au cours de ces dernières années, avec le développement des technologies d’acquisition à haute vitesse, il y a eu un regain d’intérêt pour le problème de suppression de flicker, en particulier le flicker périodique. Dans ce contexte, le flicker correspon
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Kirshnamachari, Sridharan Srikanth. "A color blending model and a color correction algorithm for additive optical see-through displays." ACM, 2013. http://hdl.handle.net/1993/23296.

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Optical see-through display (OSTD) is a transparent digital display which simultaneously gives access to the digital contents and the real world objects behind it. Additive optical see-though display is a hardware subtype of OSTD which has its own light source to create the digital contents. In Additive OSTD, light coming from background objects mixes with the light originating from the display causing what is known as the color blending problem. The work in this thesis provides a solution to the color blending problem. In order to understand the problem, this thesis first presents a
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Fredericks, Erin P. K. "Preferred color correction for mixed taking-illuminant placement and cropping /." Online version of thesis, 2009. http://hdl.handle.net/1850/11350.

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Lazin, Gordana. "Correction methods for low-altitude remote sensing of ocean color." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0020/MQ49388.pdf.

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Tian, Qi-Chong. "Color Correction and Contrast Enhancement for Natural Images and Videos." Thesis, Paris Sciences et Lettres (ComUE), 2018. http://www.theses.fr/2018PSLED020/document.

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L'amélioration d'image est une sorte de technique pour améliorer la qualité visuelle d'image, qui joue un rôle très important dans les domaines du traitement d'image et de la vision d'ordinateur. En particulier, nous considérons la correction de couleur et l'amélioration de contraste pour améliorer la qualité d'image.Dans la première partie de cette thèse, nous nous concentrons sur la correction des couleurs pour les images naturelles. Tout d'abord, nous donnons un examen simple de la correction des couleurs. Deuxièmement, nous proposons une méthode efficace de correction des couleurs pour la
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Åhlen, Julia. "Colour correction of underwater images using spectral data /." Uppsala : Acta Universitatis Upsaliensis : Univ.-bibl. [distributör], 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6138.

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Liu, Huizeng. "Ocean color atmospheric correction based on black pixel assumption over turbid waters." HKBU Institutional Repository, 2019. https://repository.hkbu.edu.hk/etd_oa/623.

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Accurate retrieval of water-leaving reflectance from satellite-sensed signal is decisive for ocean color applications, because water-leaving radiance only account for less than 10% of satellite-sensed radiance. The standard atmospheric correction algorithm relies on black pixel assumption, which assumes negligible water-radiance reflectance at the near-infrared (NIR) bands. The standard NIR-based algorithm generally works well for waters where the NIR water-leaving radiance is negligible or can be properly accounted for. However, the black pixel assumption does not hold over turbid waters, whi
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Xu, Jian. "A Parametric Method of Perspective Alignment and Color Correction for Skin Lesion Imaging." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/596.

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ABSTRACT A Parametric Method of Perspective Alignment and Color Correction on Skin Lesion Imaging Jian Xu This thesis investigates the employment of a parametric and fiducial-based perspective alignment method, and a color correction method in the context of digital skin lesion imaging. Specifically, the thesis focuses on the problem of restoring geometric and color distortion caused by variable imaging conditions across multiple skin lesion images. As the first step, an overview of the problem and relevant methods are presented. Next, the theoretical assumptions of relevant methods an
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Books on the topic "Color correction"

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Hullfish, Steve. Color Correction for Video. Elsevier Science, 2008.

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Hurkman, Alexis Van. Encyclopedia of color correction. Peachpit Press, 2007.

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Hurkman, Alexis Van. Encyclopedia of color correction. Peachpit Press, 2007.

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A, Ewing William, ed. Ernst Haas: Color correction. Steidl, 2011.

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Olson, Rex. Professional Photoshop: Tone, exposure & color correction. Desktop Images, 2002.

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(Firm), Avid Technology, ed. Color correction for Avid Xpress DV 3.5. Avid Technology, 2002.

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Leppäjärvi, Seppo. Image segmentation and analysis for automatic color correction. Lappeenranta University of Technology, 1999.

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1951-, Margulis Dan, ed. Professional Photoshop: The classic guide to color correction. 5th ed. Peachpit Press, 2007.

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Hullfish, Steve. The art and technique of digital color correction. Elsevier, 2008.

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Margulis, Dan. Professional Photoshop 5: The classic guide to color correction. Wiley, 1998.

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Book chapters on the topic "Color correction"

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Kauffmann, Sam. "Color Correction." In Avid Editing. Routledge, 2017. http://dx.doi.org/10.4324/9781315680378-19.

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Wright, Steve. "Color Correction." In Digital Compositing for Film and Video, 5th ed. Routledge, 2024. http://dx.doi.org/10.4324/9781032418070-12.

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Wolsky, Tom. "Color Correction." In Final Cut Pro X Beyond the Basics. Routledge, 2017. http://dx.doi.org/10.4324/9781315186306-10.

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Aronoff, Janee, Nyree Costello, Gavin Cromhout, and Vikas Shah. "Color Correction." In Photoshop 7 Professional Photographic Techniques. Apress, 2002. http://dx.doi.org/10.1007/978-1-4302-0779-5_3.

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Young, Rick. "Color Correction." In The Focal Easy Guide to Final Cut PRO X. Routledge, 2019. http://dx.doi.org/10.4324/9781315168654-9.

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Guo, Shuli, Xiaowei Song, and Lina Han. "Color Correction Models." In Computer-Aided Intelligent Diagnosis of Skin Melanoma. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6135-0_2.

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Whitt, Phillip. "Color Correction and Restoration." In Beginning Photo Retouching and Restoration Using GIMP. Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0403-0_4.

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Whitt, Phillip. "Color Correction and Restoration." In Beginning Photo Retouching and Restoration Using GIMP. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9265-5_4.

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Grimes, Pearl E. "Correction to: Photoaging." In Color Atlas of Chemical Peels. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-30223-9_20.

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Bascle, Benedicte, Olivier Bernier, and Vincent Lemaire. "Illumination-Invariant Color Image Correction." In Advances in Machine Vision, Image Processing, and Pattern Analysis. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11821045_38.

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Conference papers on the topic "Color correction"

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Tung, Pei-Hsuan, Cheng-Kai Lu, Yi-Hsing Chien, and Wei-Yen Wang. "Enhancing E-Paper Color Fidelity: A Deep Learning Approach to Color Correction." In 2025 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2025. https://doi.org/10.1109/icce63647.2025.10929770.

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Maloney, Laurence T. "Linear Model Algorithms for Color Correction." In Color Appearance. Optica Publishing Group, 1987. http://dx.doi.org/10.1364/ca.1987.tub1.

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Human and machine visual sensing is enhanced when information about the surface properties of objects in a scene, including their intrinsic colors, can be reliably estimated despite changes in the ambient lighting conditions, and the presence of other objects in the scene.
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V, Senthilkumaran. "Color Correction Using Color Checkers." In Proceedings of the First International Conference on Combinatorial and Optimization, ICCAP 2021, December 7-8 2021, Chennai, India. EAI, 2021. http://dx.doi.org/10.4108/eai.7-12-2021.2314537.

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Balasubramanian, Raja, Ricardo L. de Queiroz, and Zhigang Fan. "Multiresolution color correction." In Photonics West '98 Electronic Imaging, edited by Giordano B. Beretta and Reiner Eschbach. SPIE, 1998. http://dx.doi.org/10.1117/12.298277.

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Guay, Randall G. "Method of color correction which preserves perceived color differences." In Color Hard Copy and Graphic Arts. SPIE, 1992. http://dx.doi.org/10.1117/12.2322244.

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Protasiuk, Rafał, and Władysław Skarbek. "Color correction by color mapping using color temperature constraints." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, edited by Ryszard S. Romaniuk and Maciej Linczuk. SPIE, 2018. http://dx.doi.org/10.1117/12.2501498.

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Brown, Lisa, Ankur Datta, and Sharathchandra Pankanti. "Exploiting Color Strength to Improve Color Correction." In 2012 IEEE International Symposium on Multimedia (ISM). IEEE, 2012. http://dx.doi.org/10.1109/ism.2012.43.

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Tsukada, Masato, Chisato Funayama, and Johji Tajima. "Automatic color preference correction for color reproduction." In Photonics West 2001 - Electronic Imaging, edited by Reiner Eschbach and Gabriel G. Marcu. SPIE, 2000. http://dx.doi.org/10.1117/12.410792.

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Zhu, Zhenmin, Yongxian Zhang, Haiyan Tu, and Xiaolong Jin. "Color correction for color vision measurement system." In Fifth International Conference on Digital Image Processing, edited by Yulin Wang and Xie Yi. SPIE, 2013. http://dx.doi.org/10.1117/12.2030749.

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Stentiford, Fred W. M., and Matt D. Walker. "Attention-based color correction." In Electronic Imaging 2006, edited by Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly. SPIE, 2006. http://dx.doi.org/10.1117/12.640270.

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Reports on the topic "Color correction"

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Wolf, Stephen. Color correction matrix for digital still and video imaging systems. Institute for Telecommunication Sciences, 2003. https://doi.org/10.70220/cpgqt0r3.

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