A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Filters
Color constancy
2011
Vision Research
Preserved Fulltext
deals with the intrinsically variable nature of surfaces and illuminations present in the natural world. ...
A quarter of a century ago, the first systematic behavioral experiments were performed to clarify the nature of color constancy-the effect whereby the perceived color of a surface remains constant despite ...
The review does not deal with color constancy in color-vision deficiency, whether inherited or acquired, or with lightness constancy, which has its Fig. 1 . ...
doi:10.1016/j.visres.2010.09.006
pmid:20849875
fatcat:ruvqlc6cufca5lb2wcacfe2nty
Bayesian color constancy
1997
Optical Society of America. Journal A: Optics, Image Science, and Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We develop the MLM estimator for the color-constancy problem in which flat matte surfaces are uniformly illuminated. ...
The problem of color constancy may be solved if we can recover the physical properties of illuminants and surfaces from photosensor responses. ...
BAYESIAN COLOR CONSTANCY To apply the MLM estimator to color constancy requires finding a computable expression for the expected loss. ...
doi:10.1364/josaa.14.001393
pmid:9203394
fatcat:vl6ti52y7bcvpf6txsdloptsuy
Fast Fourier Color Constancy
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. ...
Our implementation of FFCC runs at ~700 frames per second on a mobile device, allowing it to be used as an accurate, real-time, temporally-coherent automatic white balance algorithm. ...
how color checker pixels are ignored. ...
arXiv:1611.07596v3
fatcat:f4lzulqyljf6vjpi3fyj36h56q
Fast Fourier Color Constancy
2017
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus. ...
Our implementation of FFCC runs at ∼ 700 frames per second on a mobile device, allowing it to be used as an accurate, real-time, temporally-coherent automatic white balance algorithm. ...
Our approach to color constancy introduces a number of issues. ...
doi:10.1109/cvpr.2017.735
dblp:conf/cvpr/BarronT17
fatcat:jqp3j4zpojbhfgburx5sgmsvhu
Unsupervised Learning for Color Constancy
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Most digital camera pipelines use color constancy methods to reduce the influence of illumination and camera sensor on the colors of scene objects. ...
This effectively enables inter-camera unsupervised learning for color constancy. ...
Tomislav Petković for his help in assembling the handle that connected the calibration object with the camera that was used to create the Cube dataset. ...
arXiv:1712.00436v4
fatcat:4rkt2thxyvertl42jbnhe7z35y
CroP: Color Constancy Benchmark Dataset Generator
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
To overcome such and similar problems, in this paper a color constancy benchmark dataset generator is proposed. ...
Implementing color constancy as a pre-processing step in contemporary digital cameras is of significant importance as it removes the influence of scene illumination on object colors. ...
In order to try to simultaneously deal with most of these problems, in this paper a color constancy dataset generator is proposed. ...
arXiv:1903.12581v1
fatcat:fisel4mlufgjtoruyjkrirfy3i
Sensor sharpening for computational color constancy
2001
Optical Society of America. Journal A: Optics, Image Science, and Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
A 11, 1553] has been proposed as a method for improving computational color constancy, but it has not been thoroughly tested in practice with existing color constancy algorithms. ...
Further experiments suggest that this method is more effective for use with several known color constancy algorithms. ...
In addition, we acknowledge the efforts of Lindsay Martin who helped with the data collection. ...
doi:10.1364/josaa.18.002728
pmid:11688863
fatcat:ut5pyyb46vfqdghwteqkdgux7u
Color Constancy Using Double-Opponency
2015
IEEE Transactions on Pattern Analysis and Machine Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The idea behind the proposed double-opponency based color constancy (DOCC) model originates from the substantial observation that the color distribution of the responses of DO cells to the color-biased ...
images coincides well with the vector denoting the light source color. ...
However, it is still unclear how the DO cells contribute to color constancy. ...
doi:10.1109/tpami.2015.2396053
pmid:26353182
fatcat:fsyqphi74jewldnsnk23hirxhi
Improving color constancy by discounting the variation of camera spectral sensitivity
2017
Optical Society of America. Journal A: Optics, Image Science, and Vision
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2016 pre-print arXiv:1609.01670v1 fatcat:nuzkgzkhmfcjneibw43o6gvobeOther Versions
Most color constancy (CC) models have been designed to first estimate the illuminant color, which is then removed from the color biased image to obtain an image taken under white light, without the explicit ...
It is an ill-posed problem to recover the true scene colors from a color biased image by discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same time. ...
We would like to thank Dr. Dilip Kumar Prasad and Michael S. Brown for providing their estimated CSSs of NUS dataset and Dr. Javier Vazquez-Corral for kindly sharing the code of spectral sharpening. ...
doi:10.1364/josaa.34.001448
pmid:29036112
fatcat:ejkuxv2rbnfgdici2cxfcrazfu
Perceptually Motivated Automatic Color Contrast Enhancement Based on Color Constancy Estimation
2010
EURASIP Journal on Image and Video Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We try to estimate the illumination and separate it from the reflectance component of an image. We use denoising techniques to estimate the illumination and while doing so achieve color constancy. ...
This enhanced illumination is then multiplied with the reflectance to obtain enhanced images with better contrast. ...
It will be interesting to explore how grey-edge color constancy algorithms with order n > 2 affect the estimation of illuminant color. ...
doi:10.1155/2010/837237
fatcat:tiwfanl6ybebtd6lemtwdrtuhe
A sequential Bayesian approach to color constancy using non-uniform filters
2009
Computer Vision and Image Understanding
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
22 This paper introduces a non-uniform filter formulation into the Brainard and Freeman Bayesian color 23 constancy technique. ...
Second, it shows that such 27 additional measurements obtained reduce the effect of the prior in Bayesian color constancy. ...
Studies of 41 the human color constancy system have led to the development 42 of many color constancy methods for machine vision applications. ...
doi:10.1016/j.cviu.2009.03.014
fatcat:yrddtybw4zdcdoj5n6wtqhyet4
A comparison of computational color constancy algorithms. I: Methodology and experiments with synthesized data
2002
IEEE Transactions on Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Experiments using synthesized data are important because the ground truth is known, possible confounds due to camera characterization and pre-processing are absent, and various factors affecting color ...
We introduce a context for testing computational color constancy, specify our approach to the implementation of a number of the leading algorithms, and report the results of three experiments using synthesized ...
Understanding these factors under controlled conditions is a necessary first step toward dealing with them in images taken with a real camera. ...
doi:10.1109/tip.2002.802531
pmid:18249720
fatcat:4crsauuvjfanraad6ny6mcmihm
Internet color imaging
2000
Input/Output and Imaging Technolgies II
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The sharing and exchange of color images over the Internet pose very challenging problems to color science and technology. ...
color imaging applications. ...
When we send a digital camera image to an on-line fulfillment center, how do we know if they can print it with good tone and color rendition? ...
doi:10.1117/12.389436
fatcat:ruikhjuna5bfjeusewfljkagba
30th Color and Imaging Conference Final Program
2022
Final program and proceedings (Color and Imaging Conference)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Major milestones in our understanding and modelling of color vision, metamerism, color appearance, color constancy, and dynamic range perception, as well as important developments in gamut mapping, color ...
Importantly, CIC is home to a unique balance of academia and industry working in tandem to advance fundamental science and come up with practical engineering solutions. ...
Motivation Color constancy algorithms for digital images typically aim to make the image look as if a neutral light illuminated the scene, removing the chromatic bias of the actual illumination. ...
doi:10.2352/cic.2022.30.1.01
fatcat:23qfrbejn5f7rmi7tdqw7nbzo4
The Color and the Shape: Automatic On-Line Color Calibration for Autonomous Robots
[chapter]
2006
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2007; you can also visit the original URL.
The file type is application/pdf.
The calibration works by localizing the robot(without using color information), then growing homogeneously colored regions and matching their size and shape with those of the expected regions. ...
If a region matches the expected one, its color is added to the respective symbolic color class. ...
Another class of color constancy methods, used in many consumer cameras, are based on the "gray-world assumption" of G. Buchsbaum [14] and referred to as gray world methods. ...
doi:10.1007/11780519_31
fatcat:okv4z2ormres3pm7zx5d7qkvdm
« Previous
Showing results 1 — 15 out of 1,426 results