Image Analysis Using Multigrid Relaxation Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast bilateral filtering for the display of high-dynamic-range images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
IEEE Transactions on Pattern Analysis and Machine Intelligence
Diffusions and Confusions in Signal and Image Processing
Journal of Mathematical Imaging and Vision
A Variational Framework for Retinex
International Journal of Computer Vision
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A general framework for low level vision
IEEE Transactions on Image Processing
The digital TV filter and nonlinear denoising
IEEE Transactions on Image Processing
On the origin of the bilateral filter and ways to improve it
IEEE Transactions on Image Processing
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2007 courses
A gentle introduction to bilateral filtering and its applications
ACM SIGGRAPH 2008 classes
A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach
International Journal of Computer Vision
Recovering high dynamic range by Multi-Exposure Retinex
Journal of Visual Communication and Image Representation
Color image enhancement using retinex with robust envelope
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
HVS-aware ROI-Based illumination and color restoration
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A Total Variation Model for Retinex
SIAM Journal on Imaging Sciences
Trilateral filtering-based retinex for image enhancement
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
A flexible FPGA implementation for illuminance---reflectance video enhancement
Journal of Real-Time Image Processing
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Retinex theory deals with the removal of unfavorable illumination effects from images. This ill-posed inverse problem is typically regularized by forcing spatial smoothness on the recoverable illumination. Recent work in this field suggested exploiting the knowledge that the illumination image bounds the image from above, and the fact that the reflectance is also expected to be smooth. In this paper we show how the above model can be improved to provide a non-iterative retinex algorithm that handles better edges in the illumination, and suppresses noise in dark areas. This algorithm uses two specially tailored bilateral filters – the first evaluates the illumination and the other is used for the computation of the reflectance. This result stands as a theoretic justification and refinement for the recently proposed heuristic use of the bilateral filter for retinex by Durand and Dorsey. In line with their appealing way of speeding up the bilateral filter, we show that similar speedup methods apply to our algorithm.