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Journal articles on the topic 'Color correction'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

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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2

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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3

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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6

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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9

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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10

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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11

Mozhenko, Mykola. "Evolution of Color Correction Technologies in Cinematography and on TV." Bulletin of KNUKiM. Series in Arts, no. 37 (December 10, 2017): 54–64. https://doi.org/10.31866/2410-1176.37.2017.155610.

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The purpose of the article is to analyze the functions of color correction in cinematography and on television in the system of organizing visual design of audiovisual works, to find out the peculiarities of its use in various films and determine the ways of its implementation with the help of color correction software. The research methodology consisted in the application of visual analysis of films, which allowed for understanding the basic functions of color correction in modern audiovisual works. The scientific novelty of the work lies in the first attempt to

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12

Olson, Thor. "Underwater Color Correction." Color and Imaging Conference 25, no. 1 (2017): 302–8. http://dx.doi.org/10.2352/issn.2169-2629.2017.25.302.

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13

Eung-Joo Lee and Yeong-Ho Ha. "Favorite color correction for reference color." IEEE Transactions on Consumer Electronics 44, no. 1 (1998): 10–15. http://dx.doi.org/10.1109/30.663725.

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14

Zhang, Yuning, Jian Wang, Xiaohua Li, and Wei Lei. "Color Correction in Color Sequential LCDs." Journal of Display Technology 10, no. 8 (2014): 623–28. http://dx.doi.org/10.1109/jdt.2014.2311999.

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15

Balasubramanian, Raja. "Color Transformations for Printer Color Correction." Color and Imaging Conference 2, no. 1 (1994): 62–65. http://dx.doi.org/10.2352/cic.1994.2.1.art00018.

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16

Nadia, Garg, Jain Ravi, and Sharma Raksha. "Color Cast Correction Mechanisms: Techniques and Innovations for Image Enhancement." International Journal of Emerging Research in Engineering, Science, and Management 2, no. 4 (2023): 05–16. https://doi.org/10.58482/ijeresm.v2i4.2.

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This paper presents an in-depth examination of color cast in digital images, elucidating its fundamental principles, generation mechanisms, and real-world implications influenced by light absorption and scattering. The study explores diverse color cast correction methods and provides a detailed analysis of their respective outcomes. Foundational knowledge of color cast, rooted in the principles of light interaction, serves as the basis for understanding its manifestation in various real-world contexts. The research systematically investigates the intricate dynamics of color cast across diverse

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Zhahirin, Muhamad Nujjiya, Kokom Komariah, and Jimi Narotama Mahameruaji. "Penerapan Teknik Koreksi Warna pada Rekaman High Dynamic Range Film Dokumenter Di Balik Seragam Biru." Jurnal Ilmiah Multimedia dan Komunikasi 9, no. 2 (2025): 94–111. https://doi.org/10.56873/jimk.v9i2.338.

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The documentary film “Di Balik Seragam Biru” was created using the HDR format, in which it produces realistic images with a wider color gamut. This process presents unique visual challenges, particularly in color correction, since changes in shooting conditions can affect visual consistency. This study aims to apply color correction techniques to address inconsistencies in HDR footage. The study provides academic benefits by developing color correction methods for the HDR format, which can serve as an important reference for researchers exploring similar techniques in film and television produ

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18

Sun, Xiang, Yunpeng Zhang, Lingbao Kong, et al. "Multi-Color Channel Gamma Correction in Fringe Projection Profilometry." Photonics 12, no. 1 (2025): 74. https://doi.org/10.3390/photonics12010074.

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Three-dimensional shape measurement plays an important role in various fields. As a way of three-dimensional measurement, fringe projection profilometry (FPP) is widely used because of its non-contact, simple structure, and high stability. One of the key challenges affecting measurement accuracy is the gamma effect. With the development of FPP technology, multi-color channels are gradually applied to the measurement, and the response of different colors in the projector-camera system (pro-cam system) is not exactly the same. Therefore, more accurate gamma correction for different color channel

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19

Yi, Hye Won, and Min Hee Hong. "A study on the Importance of Color Image througeh the Analysis of Film Scenarios: Focusing on the short films <Jeonghee> and <The Last Film of Humanity>." Korea Institute of Design Research Society 8, no. 1 (2023): 413–22. http://dx.doi.org/10.46248/kidrs.2023.1.413.

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The image in the movie is strongly influenced by the element of color. Through the digital color correction process, colors can be used to highlight the emotional atmosphere and story according to the theme intended for directing. Therefore, a study was conducted to find out the role and how the image of color plays through digital color correction during the short film production process. Through the short films <Jeonghee> and <Humanity's Last Movie>, the images and symbols reminiscent of colors in the film can help understand the overall mood and narrative of the film, and play a

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Mao, Jingjing, Zhihui Wu, and Xinhao Feng. "A Modeling Approach on the Correction Model of the Chromatic Aberration of Scanned Wood Grain Images." Coatings 12, no. 1 (2022): 79. http://dx.doi.org/10.3390/coatings12010079.

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There always exists subjective and objective color differences between digital wood grain and real wood grain, making it difficult to replicate the color of natural timber. Therefore, we described a novel method of correcting the chromatic aberration of scanned wood grain to maximally restore the objective color information of the real wood grain. A point-to-point correction model of chromatic aberration between the scanned wood grain and the measured wood grain was established based on Circle 1 by adjusting the three channels (sR, sG, and sB) of the scanned images. A conversion of the color s

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21

Coelho, Daniel, Lucas Dal’Col, Tiago Madeira, Paulo Dias, and Miguel Oliveira. "A Robust 3D-Based Color Correction Approach for Texture Mapping Applications." Sensors 22, no. 5 (2022): 1730. http://dx.doi.org/10.3390/s22051730.

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Texture mapping of 3D models using multiple images often results in textured meshes with unappealing visual artifacts known as texture seams. These artifacts can be more or less visible, depending on the color similarity between the used images. The main goal of this work is to produce textured meshes free of texture seams through a process of color correcting all images of the scene. To accomplish this goal, we propose two contributions to the state-of-the-art of color correction: a pairwise-based methodology, capable of color correcting multiple images from the same scene; the application of

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22

Zhang, Guixiang, Shuang Song, Jenny Panescu, Nicholas Shapiro, Karen C. Dannemiller, and Rongjun Qin. "A novel systems solution for accurate colorimetric measurement through smartphone-based augmented reality." PLOS ONE 18, no. 6 (2023): e0287099. http://dx.doi.org/10.1371/journal.pone.0287099.

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Quantifying the colors of objects is useful in a wide range of applications, including medical diagnosis, agricultural monitoring, and food safety. Accurate colorimetric measurement of objects is a laborious process normally performed through a color matching test in the laboratory. A promising alternative is to use digital images for colorimetric measurement, due to their portability and ease of use. However, image-based measurements suffer from errors caused by the non-linear image formation process and unpredictable environmental lighting. Solutions to this problem often perform relative co

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23

Lozhkin, L. D., and A. A. Soldatov. "Color Correction in Modern Color Reproduction Devices." Journal of Communications Technology and Electronics 63, no. 4 (2018): 361–66. http://dx.doi.org/10.1134/s1064226918040071.

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24

Dong, Jun, and Mengting Huang. "Analysis of the Application of Digital Color Calibration Technology in Film Post-Production: Take the Short Film "Return to Oasis" as a Case Study." International Journal of Culture and History 11, no. 2 (2024): 67. http://dx.doi.org/10.5296/ijch.v11i2.22090.

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As one of the indispensable visual elements in film and television art, color plays a key role in the visual expression and audience experience of the film, and whether the color is used properly directly affects the expression of the content of the film and television works. Through proper adjustment and control of color in film and television post-production, the film can better convey the story emotion and enhance the audience's visual feeling of the film. Therefore, digital color correction is a very important link in film and television post-production. In the creation of short films, scr

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Santos, Alan R. F., Kelson R. T. Aires, and Rodrigo M. S. Veras. "Aspects of Lighting and Color in Classifying Malignant Skin Cancer with Deep Learning." Applied Sciences 14, no. 8 (2024): 3297. http://dx.doi.org/10.3390/app14083297.

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Malignant skin cancers are common in emerging countries, with excessive sun exposure and genetic predispositions being the main causes. Variations in lighting and color, resulting from the diversity of devices and lighting conditions during image capture, pose a challenge for automated diagnosis through digital images. Deep learning techniques emerge as promising solutions to improve the accuracy of identifying malignant skin lesions. This work aims to investigate the impact of lighting and color correction methods on automated skin cancer diagnosis using deep learning architectures, focusing

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Motyko, A. A., N. A. Obukhova, and K. A. Smirnov. "Estimation of Observer Metameric Failure when Using Modern Displays." Journal of the Russian Universities. Radioelectronics 28, no. 3 (2025): 24–41. https://doi.org/10.32603/1993-8985-2025-28-3-24-41.

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Introduction. The advent of wide-gamut color reproduction devices (LED, laser, or OLED) has exacerbated the problem of color rendering related to individual differences in color perception and referred to as observer metameric failure. Currently, designers of smartphone and TV displays, as well as other playback devices, are aiming to reach a wider gamut; however, there is a lack of device-specific methodologies for assessing the degree of observer metameric failure.Aim. To develop a method for estimating the degree of observer metameric failure. This method can be used to assess the need for

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27

Finlayson, GrahamD, and GarrettM Johnson. "Extended Linear Color Correction." Color and Imaging Conference 2016, no. 1 (2016): 168–73. http://dx.doi.org/10.2352/issn.2169-2629.2017.32.168.

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Finlayson, Graham D., and Peter M. Morovic. "Metamer Constrained Color Correction." Journal of Imaging Science and Technology 44, no. 4 (2000): 295–300. http://dx.doi.org/10.2352/j.imagingsci.technol.2000.44.4.art00005.

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Hartanto, Adi, and Nur Ismawati. "Pembuatan Aplikasi Buta warna untuk penderita buta warna." Jurnal Ilmiah FIFO 10, no. 2 (2019): 42. http://dx.doi.org/10.22441/fifo.2018.v10i2.005.

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Color blindness is the reason a person is unable to distinguish certain colors. Color blindness is experienced by someone from birth because of lack or absence of pigment in the retinal cone cells of the eye. So that someone will be difficult to distinguish and identify colors. The purpose of making this color-blind application is to help people with color blindness and know the color by making color transfusion and color correction to display names, RGB and HSV values of a color. This Color Blind application is an Android OS application that will be embedded in a smartphone that can be easily

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Wang, Fan, Min Fang, Xiaoting Fu, et al. "Empirical Color Correction to MIST and PARSEC Isochrones on Gaia BR − RP and G − RP with Benchmark Open Clusters." Astrophysical Journal 979, no. 1 (2025): 92. https://doi.org/10.3847/1538-4357/ad960a.

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Abstract Recent literature reports a color deviation between observed Gaia color–magnitude diagrams (CMDs) and theoretical model isochrone predictions, particularly in the very low-mass regime. To assess its impact on cluster age determination via isochrone fitting, we quantified the color deviations for three benchmark clusters, Hyades, Pleiades, and Praesepe, both for the Gaia color (BP − RP) and (G − RP). In general, the (G − RP) color deviations are smaller than the (BP − RP) ones. Empirical color-correction functions based on these benchmarks are derived for the currently available MESA I

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KIPS, Robin, Loïc TRAN, Emmanuel MALHERBE, and Matthieu PERROT. "Beyond Color Correction : Skin Color Estimation In The Wild Through Deep Learning." Electronic Imaging 2020, no. 5 (2020): 82–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.5.maap-060.

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Estimating skin color from an uncontrolled facial image is a challenging task. Many factors such as illumination, camera and shading variations directly affect the appearance of skin color in the image. Furthermore, using a color calibration target in order to correct the image pixels leads to a complex user experience. We propose a skin color estimation method from images in the wild, taken with unknown camera, under an unknown lighting, and without a calibration target. While prior methods relied on explicit intermediate steps of color correction of image pixels and skin region segmentation,

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Qi, Zhen, Li-ping Tu, Jing-bo Chen, Xiao-juan Hu, Jia-tuo Xu, and Zhi-feng Zhang. "The Classification of Tongue Colors with Standardized Acquisition and ICC Profile Correction in Traditional Chinese Medicine." BioMed Research International 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/3510807.

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Background and Goal. The application of digital image processing techniques and machine learning methods in tongue image classification in Traditional Chinese Medicine (TCM) has been widely studied nowadays. However, it is difficult for the outcomes to generalize because of lack of color reproducibility and image standardization. Our study aims at the exploration of tongue colors classification with a standardized tongue image acquisition process and color correction. Methods. Three traditional Chinese medical experts are chosen to identify the selected tongue pictures taken by the TDA-1 tongu

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33

Zhao, Zi Quan, and Rui Guang Wang. "A Brightness and Color Correction Method of LED Display Based on CCD Camera." Applied Mechanics and Materials 198-199 (September 2012): 1190–95. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1190.

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The correction methods of LED displays are aiming to address the uniform issues which includes brightness aspect and color aspect. The correction method use a 3×3 correction coefficients matrix to reshape the pulse width of each LED.To calculate the correction coefficients, a linear system is established, which includes a color CCD and a LED display. And a correction algorithm is introduced based on the color CCD. This algorithm describes the relationships of the main color components of a LED, when the gray level of a LED is increasing or decreasing, the three main color components would chan

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34

JzauSheng Lin, YuYi Liao, and ShenChuan Tai. "Color Correction with Zone System for Color Image." International Journal of Digital Content Technology and its Applications 6, no. 10 (2012): 257–65. http://dx.doi.org/10.4156/jdcta.vol6.issue10.30.

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35

Lozhkin, L. D., O. V. Osipov, and A. A. Voronoy. "COLOR CORRECTION IN THE TRICHROMATIC COLOR REPRODUCTION DEVICES." Computer Optics 41, no. 1 (2017): 88–94. http://dx.doi.org/10.18287/2412-6179-2017-41-1-88-94.

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Um, Taeha, and Wonha Kim. "Dehazing in HSI Color Space with Color Correction." Journal of Broadcast Engineering 18, no. 2 (2013): 140–48. http://dx.doi.org/10.5909/jbe.2013.18.2.140.

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Mohd Jain Noordin, Mohd Naim, Nor Ashidi Mat Isa, and Wei Hong Lim. "Saturation avoidance color correction for digital color images." Multimedia Tools and Applications 76, no. 7 (2016): 10279–312. http://dx.doi.org/10.1007/s11042-016-3620-y.

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Suominen, Joni, and Karen Egiazarian. "Camera Color Correction using Splines." Electronic Imaging 36, no. 16 (2024): 165–1. http://dx.doi.org/10.2352/ei.2024.36.16.color-165.

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Corbu, Emilia Corina, Anne-Marie Nitescu, and Eduard Edelhauser. "Optimizing Correction Factors on Color Differences for Automotive Painting Services." Sensors 24, no. 24 (2024): 8213. https://doi.org/10.3390/s24248213.

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Currently, the automotive sector is showing increased demands regarding the color of cars in general, but especially the quality and the time of painting, in particular. Companies working in this industry, especially in specialized painting services, must perform work of impeccable quality in the shortest possible time in order to be efficient. Color differences that appear in different areas of the car result from the use of different formulas for obtaining color. These differences can be reduced by using correction factors that are established for the colors in the partial or total painting

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40

Schimmel, Carmel, David Frazer, and Robb W. Glenny. "Extending fluorescent microsphere methods for regional organ blood flow to 13 simultaneous colors." American Journal of Physiology-Heart and Circulatory Physiology 280, no. 6 (2001): H2496—H2506. http://dx.doi.org/10.1152/ajpheart.2001.280.6.h2496.

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Seven fluorescent microsphere colors can be used in a single experiment to estimate regional blood flow without correcting for spillover of emitted fluorescence. To extend the method to 13 colors, we compared the accuracy of three methods for spillover correction. Fixed wavelength intensities were corrected by matrix inversion, and synchronous scan spectra were corrected by least squares fit of an overdetermined system of linear equations and by least squares fit of a sum of Gaussian and Lorentzian functions. Correction methods were validated in pigs and sheep by simultaneous injections of rad

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Fathoni, Ahmad Faisal Choiril Anam. "Mengkaji Penggunaan Software Apple Color untuk Color Grading saat Pasca Produksi." Humaniora 2, no. 1 (2011): 590. http://dx.doi.org/10.21512/humaniora.v2i1.3072.

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In post-production process, there is one process that is not as well known as the video editing process, the addition of animation, special effects enrichment, motion graphics or audio editing and audio mixing, an important process which is rarely realized called Color Correction or Color Grading. Various software have been made to handle this process, ranging from additional filters are already available for free in any editing software, to high-end devices worth billions of dollars dedicated for specifically conducting Color Correction. Apple Color is one of the software included in the purc

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Obert, Kyra, Maria Schudt, and Ian Bentley. "Color Saturation: Upper and Lower Percentage Histogram Manipulation." American Journal of Undergraduate Research 20, no. 1 (2023): 59–76. http://dx.doi.org/10.33697/ajur.2023.080.

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There are various color correction techniques that can be applied to digital photographs to account for environmental lighting variations. This manuscript contains a proposed method for such color correction. The method involves saturating an image by a specified percentage of its pixels via upper and lower percentage histogram manipulation using the image’s RGB histograms. Variations of this new technique, the white balance (WB) correction method, and a multivariable fit are used to test its performance against common color correction techniques. The findings demonstrate that the upper and lo

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Gardecki, Stanisław, Krzysztof Wegner, Tomasz Grajek, and Krzysztof Klimaszewski. "Per-Pixel Manifold-Based Color Calibration Technique." Applied Sciences 15, no. 6 (2025): 3128. https://doi.org/10.3390/app15063128.

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In this paper, we present a method for obtaining a manifold color correction transform for multiview images. The method can be applied in various scenarios, for correcting the colors of stitched images, adjusting the colors of images obtained in different lighting conditions, and performing virtual view synthesis based on images taken by different cameras or in different conditions. The provided derivation allows us to use the method to correct regular RGB images. The provided solution is specified as a transform matrix that provides the pixel-specific color transformation for each pixel and t

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Masaoka, Kenichiro. "78‐1: Invited Paper: Gamut Rings Color Scope for Use with Wide Gamut Display Systems." SID Symposium Digest of Technical Papers 55, no. 1 (2024): 1074–77. http://dx.doi.org/10.1002/sdtp.17724.

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Traditional chromaticity scopes and vectorscopes have limited ability to visualize color appearance attributes, which limits color grading and color correction. A new tool based on gamut rings can monitor the lightness, chroma, and hue distributions of the pixel colors of input images in a single 2D diagram. The perceptually intuitive visualization is expected to facilitate more efficient and effective color grading, thereby broadening the market's understanding of the benefits of wide gamut displays.

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Peel, Mike W., Ricardo Genova-Santos, C. Dickinson, et al. "Fastcc: Fast Color Corrections for Broadband Radio Telescope Data." Research Notes of the AAS 6, no. 12 (2022): 252. http://dx.doi.org/10.3847/2515-5172/aca6eb.

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Abstract Broadband receiver data need color corrections applying to correct for the different source spectra across their wide bandwidths. The full integration over a receiver bandpass may be computationally expensive and redundant when repeated many times. Color corrections can be applied, however, using a simple quadratic fit based on the full integration instead. Here we describe fastcc and interpcc, quick Python and IDL codes that return, respectively, color correction coefficients for different power-law spectral indices and modified blackbodies for various Cosmic Microwave Background rel

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Zhang, Weihong, Xiaobo Li, Shuping Xu, et al. "Underwater Image Restoration via Adaptive Color Correction and Contrast Enhancement Fusion." Remote Sensing 15, no. 19 (2023): 4699. http://dx.doi.org/10.3390/rs15194699.

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When light traverses through water, it undergoes influence from the absorption and scattering of particles, resulting in diminished contrast and color distortion within underwater imaging. These effects further constrain the observation of underwater environments and the extraction of features from submerged objects. To address these challenges, we introduce an underwater color image processing approach, which amalgamates the frequency and spatial domains, enhancing image contrast in the frequency domain, adaptively refining image color within the spatial domain, and ultimately merging the con

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CHEN, JING, LI-QIANG WANG, ZI-BO MENG, BO YUAN, and HUI-LONG DUAN. "COLOR CORRECTION FOR HIGH-DEFINITION ELECTRONIC ENDOSCOPE." Journal of Innovative Optical Health Sciences 05, no. 04 (2012): 1250029. http://dx.doi.org/10.1142/s1793545812500290.

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The subtle color distinction is the important function of electronic endoscope imaging diagnosis. However, after image acquisition, transmission and display, color distortions of intracorporeal organs or tissues occur inevitably, which are adverse to analyze image features accurately or to diagnose early pathological changes. A real-time color correction algorithm based on four-neighborhood and polynomial regression in YUV color space is proposed. Based on polynomial regression the color correction matrix is calculated in YUV color space according to the differences between standard values of

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Marini, Daniele L. R., Cristian Bonanomi, and Alessandro Rizzi. "About color correction in astrophotography." Electronic Imaging 2018, no. 16 (2018): 285–1. http://dx.doi.org/10.2352/issn.2470-1173.2018.16.color-285.

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Shin, Jaemin, Hyunsoo Oh, Kyeongman Kim, and Seong Wook Han. "Media Color Adaptive Gamma Correction." Electronic Imaging 2018, no. 16 (2018): 417–1. http://dx.doi.org/10.2352/issn.2470-1173.2018.16.color-417.

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Lozhkin, L. D., O. V. Osipov, A. A. Voronoĭ, A. A. Soldatov, and D. P. Tabakov. "Optimum color correction in television." Journal of Optical Technology 85, no. 6 (2018): 326. http://dx.doi.org/10.1364/jot.85.000326.

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