Results 21 to 30 of about 3,709,095 (175)
A Curious Problem with Using the Colour Checker Dataset for Illuminant Estimation [PDF]
International Conference on Communications in Computing, 2017 In illuminant estimation, we attempt to estimate the RGB of the light. We then use this estimate on an image to correct for the light's colour bias. Illuminant estimation is an essential component of all camera reproduction pipelines.
G. Finlayson +3 more
semanticscholar +2 more sources
A Psychophysical Analysis of Illuminant Estimation Algorithms [PDF]
, 2017 Illuminant estimation algorithms are often evaluated by calculating recovery angular error which is the angle between the RGB of the ground truth and the estimated illuminants.
Finlayson, Graham, Zakizadeh, Roshanak
core +5 more sources
Biologically inspired image invariance guided illuminant estimation using shallow and deep models
Expert Systems With ApplicationsLiangtian He +2 more
exaly +2 more sources
The Reproduction Angular Error for Evaluating the Performance of Illuminant Estimation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Roshanak Zakizadeh +2 more
exaly +2 more sources
IEEE Access, 2021 For the imaging signal processing (ISP) pipeline of digital image devices, it is of high significance to remove undesirable illuminant effects and obtain color invariance, commonly known as ‘computational color constancy’.
Ho-Hyoung Choi, Byoung-Ju Yun
doaj +1 more source
Deep outdoor illumination estimation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We present a CNN-based technique to estimate high-dynamic range outdoor illumination from a single low dynamic range image. To train the CNN, we leverage a large dataset of outdoor panoramas. We fit a low-dimensional physically-based outdoor illumination model to the skies in these panoramas giving us a compact set of parameters (including sun position,
Yannick Hold-Geoffroy +4 more
openaire +3 more sources
Extending minkowski norm illuminant estimation [PDF]
, 2012 The ability to obtain colour images invariant to changes of illumination is called colour constancy. An algorithm for colour constancy takes sensor responses - digital images - as input, estimates the ambient light and returns a corrected image in ...
Troncoso Rey, Perla
core +5 more sources
Illuminance Flow Estimation by Regression [PDF]
International Journal of Computer Vision, 2010 We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HOGs). In a regression setting, we found for both ridge regression and support vector machines, that the optimal solution shows close resemblance to the gradient based structure tensor (also known as the second moment matrix).
Karlsson, SM +3 more
openaire +8 more sources
Weight‐based colour constancy using contrast stretching
IET Image Processing, 2021 One of the main issues in colour image processing is changing objects' colour due to colour of illumination source. Colour constancy methods tend to modify overall image colour as if it was captured under natural light illumination.
Zeinab Abedini, Mansour Jamzad
doaj +1 more source
Deep Specialized Network for Illuminant Estimation
Lecture Notes in Computer Science, 2016 Chen Change Loy, Xiaoou Tang
exaly +2 more sources