Digital Image Processing
Dynamic histogram warping of image pairs for constant image brightness
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Contrast mapping and statistical testing for low-grade GLIOMA growth quantification on brain MRI
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Stabilization of Flicker-Like Effects in Image Sequences through Local Contrast Correction
SIAM Journal on Imaging Sciences
A variational approach for exact histogram specification
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Exact Histogram Specification for Digital Images Using a Variational Approach
Journal of Mathematical Imaging and Vision
| Hi-index | 0.00 |
Midway image equalization means any method giving to a pair of images the same histogram, while maintaining as much as possible their previous grey level dynamics. In this paper, we present an axiomatic analysis of image equalization which leads us to derive two possible methods. Both methods are then compared in theory and in practice for two reliability criteria, namely their effect on quantization noise and on the support of the Fourier spectrum. A mathematical analysis of the properties of the methods is performed. Their algorithms are described and they are tested on such typical pairs as satellite image stereo pairs and different photographs of a same painting.