A multiresolution spline with application to image mosaics
ACM Transactions on Graphics (TOG)
A hierarchical morphological image decomposition
Pattern Recognition Letters
Multiscale color image enhancement
Pattern Recognition Letters
Recovering high dynamic range radiance maps from photographs
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Digital Color Management: Encoding Solutions
Digital Color Management: Encoding Solutions
Gradient domain high dynamic range compression
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Photographic tone reproduction for digital images
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Multiscale Contrast Enhancement of Medical Images
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
Color Image Enhancement by Fuzzy Intensification
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
ACM SIGGRAPH 2003 Papers
A perceptual framework for contrast processing of high dynamic range images
ACM Transactions on Applied Perception (TAP)
IEEE Transactions on Image Processing
Gray and color image contrast enhancement by the curvelet transform
IEEE Transactions on Image Processing
A solution to the deficiencies of image enhancement
Signal Processing
Morphological background detection and enhancement of images with poor lighting
IEEE Transactions on Image Processing
Edge-guided resolution enhancement in projectors via optical pixel sharing
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
El-pincel: a painter cloud service for greener web pages
Proceedings of the 20th ACM international conference on Multimedia
| Hi-index | 0.00 |
Study of contrast sensitivity of the human eye shows that our suprathreshold contrast sensitivity follows the Weber Law and, hence, increases proportionally with the increase in the mean local luminance. In this paper, we effectively apply this fact to design a contrast-enhancement method for images that improves the local image contrast by controlling the local image gradient with a single parameter. Unlike previous methods, we achieve this without explicit segmentation of the image, either in the spatial (multiscale) or frequency (multiresolution) domain. We pose the contrast enhancement as an optimization problem that maximizes the average local contrast of an image strictly constrained by a perceptual constraint derived directly from the Weber Law. We then propose a greedy heuristic, controlled by a single parameter, to approximate this optimization problem.