Papers Color Constancy
“Color Constancy” 태그가 달린 논문 114편 · 필터 해제
Improving Color Constancy by Discounting the Variation of Camera Spectral Sensitivity
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. Most color constancy (CC) model…
Color ConstancySensitivityApproaching the Computational Color Constancy as a Classification Problem through Deep Learning
Computational color constancy refers to the problem of computing the illuminant color so that the images of a scene under varying illumination can be normalized to an image under the canonical illumination. In this paper…
Color ConstancyDeep LearningGeneral ClassificationDeep Structured-Output Regression Learning for Computational Color Constancy
Computational color constancy that requires esti- mation of illuminant colors of images is a fundamental yet active problem in computer vision, which can be formulated into a regression problem. To learn a robust regress…
Color ConstancyregressionAmplitude Modulated Video Camera - Light Separation in Dynamic Scenes
Controlled light conditions improve considerably the performance of most computer vision algorithms. Dynamic light conditions create varying spatial changes in color and intensity across the scene. These condition, cause…
Color ConstancyShadow RemovalBeyond White: Ground Truth Colors for Color Constancy Correction
A limitation in color constancy research is the inability to establish ground truth colors for evaluating corrected images. Many existing datasets contain images of scenes with a color chart included; however, only the c…
Color ConstancyConvolutional Color Constancy
Color constancy is the problem of inferring the color of the light that illuminated a scene, usually so that the illumination color can be removed. Because this problem is underconstrained, it is often solved by modeling…
Color Constancyobject-detectionObject DetectionStructured PredictionColor Constancy by Learning to Predict Chromaticity from Luminance
Color constancy is the recovery of true surface color from observed color, and requires estimating the chromaticity of scene illumination to correct for the bias it induces. In this paper, we show that the per-pixel colo…
Color ConstancyEffective Learning-Based Illuminant Estimation Using Simple Features
Illumination estimation is the process of determining the chromaticity of the illumination in an imaged scene in order to remove undesirable color casts through white-balancing. While computational color constancy is a…
Color ConstancyEfficient Illuminant Estimation for Color Constancy Using Grey Pixels
Illuminant estimation is a key step for computational color constancy. Instead of using the grey world or grey edge assumptions, we propose in this paper a novel method for illuminant estimation by using the information …
Color ConstancyColor Constancy Using CNNs
In this work we describe a Convolutional Neural Network (CNN) to accurately predict the scene illumination. Taking image patches as input, the CNN works in the spatial domain without using hand-crafted features that are …
Color ConstancyregressionDesign of Novel Algorithm and Architecture for Gaussian Based Color Image Enhancement System for Real Time Applications
This paper presents the development of a new algorithm for Gaussian based color image enhancement system. The algorithm has been designed into architecture suitable for FPGA/ASIC implementation. The color image enhanceme…
Color ConstancyImage EnhancementThe Photometry of Intrinsic Images
Intrinsic characterization of scenes is often the best way to overcome the illumination variability artifacts that complicate most computer vision problems, from 3D reconstruction to object or material recognition. This …
3D ReconstructionColor ConstancyIntrinsic Image DecompositionMaterial RecognitionUsing the Random Sprays Retinex Algorithm for Global Illumination Estimation
In this paper the use of Random Sprays Retinex (RSR) algorithm for global illumination estimation is proposed and its feasibility tested. Like other algorithms based on the Retinex model, RSR also provides local illumina…
Color ConstancyIllumination Estimation Based on Bilayer Sparse Coding
Computational color constancy is a very important topic in computer vision and has attracted many researchers' attention. Recently, lots of research has shown the effects of using high level visual content cues for impro…
Color Constancy