Fundamentals of digital image processing
Fundamentals of digital image processing
A multiscale model of adaptation and spatial vision for realistic image display
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
LCIS: a boundary hierarchy for detail-preserving contrast reduction
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
EURASIP Journal on Applied Signal Processing
Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Directional dyadic wavelet transforms: design and algorithms
IEEE Transactions on Image Processing
Regularization operators for natural images based on nonlinear perception models
IEEE Transactions on Image Processing
Fast Splitting -Rooting Method of Image Enhancement: Tensor Representation
IEEE Transactions on Image Processing
Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy
IEEE Transactions on Image Processing
Enhancement of Color Images by Scaling the DCT Coefficients
IEEE Transactions on Image Processing
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We present an algorithm for the enhancement of contrast in digitized archive photographic prints. It aims at producing an adaptive enhancement based on the local context of each pixel and is able to operate without direct user's intervention. A relation between the variation of contrast at different resolutions and the local Lipschitz regularity of the image is exploited. In this way, each pixel is defaded according to its nature: noise, edge, or smooth region. This strategy provides for an algorithm that drastically reduces typical, annoying artifacts like halo effects and noise amplification.