Contrast enhancement technique based on local detection of edges
Computer Vision, Graphics, and Image Processing
Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Biased anisotropic diffusion: a unified regularization and diffusion approach to edge detection
Image and Vision Computing - Special issue on the first ECCV 1990
A common framework for image segmentation
International Journal of Computer Vision
Characterization of Signals from Multiscale Edges
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear Image Filtering with Edge and Corner Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A multiscale morphological approach to local contrast enhancement
Signal Processing
Encoding Visual Information Using Anisotropic Transformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Information measures in scale-spaces
IEEE Transactions on Information Theory
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Behavioral analysis of anisotropic diffusion in image processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Measuring perceptual contrast in digital images
Journal of Visual Communication and Image Representation
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In this paper a novel approach for image contrast enhancement is proposed. Employing a thermodynamical model to define local information content, the method derives a measure of local contrast which takes into account spatial structure across multiple scales. From this measure a local contrast map is computed, which is then applied to the image, giving rise to a selective enhancement of the original image. Here some applications to medical images will be presented as well as a comparison with other methods.