Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
Minimum mean brightness error bi-histogram equalization in contrast enhancement
IEEE Transactions on Consumer Electronics
Properties and performance of a center/surround retinex
IEEE Transactions on Image Processing
A multiscale retinex for bridging the gap between color images and the human observation of scenes
IEEE Transactions on Image Processing
Gray and color image contrast enhancement by the curvelet transform
IEEE Transactions on Image Processing
No-reference quality assessment using natural scene statistics: JPEG2000
IEEE Transactions on Image Processing
A nonlinear image contrast sharpening approach based on Munsell's scale
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
An Efficient Content-Based Image Enhancement in the Compressed Domain Using Retinex Theory
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents computationally efficient framework for color image enhancement in the compressed wavelet domain. The proposed approach is capable of enhancing both global and local contrast and brightness as well as preserving color consistency. The framework does not require inverse transform for image enhancement since linear scale factors are directly applied to both scaling and wavelet coefficients in the compressed domain, which results in high computational efficiency. Also contaminated noise in the image can be efficiently reduced by introducing wavelet shrinkage terms adaptively in different scales. The proposed method is able to enhance a wavelet-coded image computationally efficiently with high image quality and less noise or other artifacts. The experimental results show that the proposed method produces encouraging results both visually and numerically compared to some existing approaches.