Image and Video Compression for Multimedia Engineering
Image and Video Compression for Multimedia Engineering
Just-noticeable difference estimation with pixels in images
Journal of Visual Communication and Image Representation
A document image model and estimation algorithm for optimized JPEG decompression
IEEE Transactions on Image Processing
Human Visual System-Based Image Enhancement and Logarithmic Contrast Measure
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Visibility of wavelet quantization noise
IEEE Transactions on Image Processing
Adaptive image coding with perceptual distortion control
IEEE Transactions on Image Processing
A generalized model for scratch detection
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy
IEEE Transactions on Image Processing
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This paper focuses on the use of Human Visual System (HVS) rules for reducing the complexity of image and video restoration algorithms. Specifically, a fast HVS based block classification is proposed for distinguishing image blocks where restoration is necessary from the ones where it is useless. Some experimental results on standard test images and video sequences show the capability of the proposed method in reducing the computing time of de-noising algorithms, preserving the visual quality of the restored sequences.