A note on the gradient of a multi-image
Computer Vision, Graphics, and Image Processing - Lectures notes in computer science, Vol. 201 (G. Goos and J. Hartmanis, Eds.)
Introduction to numerical linear algebra and optimisation
Introduction to numerical linear algebra and optimisation
Ten lectures on wavelets
A new algorithm for unsupervised global and local color correction
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Compressing and companding high dynamic range images with subband architectures
ACM SIGGRAPH 2005 Papers
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Perceptually Inspired Variational Framework for Color Enhancement
IEEE Transactions on Pattern Analysis and Machine Intelligence
Issues About Retinex Theory and Contrast Enhancement
International Journal of Computer Vision
Steerable wavelet frames based on the Riesz transform
IEEE Transactions on Image Processing
A wavelet visible difference predictor
IEEE Transactions on Image Processing
A multivalued image wavelet representation based on multiscale fundamental forms
IEEE Transactions on Image Processing
Gray and color image contrast enhancement by the curvelet transform
IEEE Transactions on Image Processing
Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model
IEEE Transactions on Image Processing
Perceptual Color Correction Through Variational Techniques
IEEE Transactions on Image Processing
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The issue of perceptually-inspired correction of color and contrast in digital images has been recently analyzed with the help of variational principles. These techniques allowed building a general framework in which the action of many already existing algorithms can be more easily understood and compared in terms of intensification of local contrast and control of dispersion around the average intensity value. In this paper we analyze this issue from the dual perspective of wavelet theory, showing that it is possible to build energy functionals of wavelet coefficients that lead to a multilevel perceptually-inspired color correction. By computing the Euler---Lagrange equations associated to the wavelet-based functionals we were able to find an analytical formula for the modification of wavelet detail coefficients that overcomes the problem of an ad-hoc selection based on empirical considerations. Besides these theoretical results, the wavelet perspective provides the computational advantage of generating much faster algorithms in comparison with the spatial variational framework.