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Proceedings ArticleDOI

Wavelet-based post-processing of low bit rate transform coded images

Ramesh A. Gopinath, +3 more
- Vol. 2, pp 913-917
TLDR
This work proposes a novel method based on wavelet thresholding for enhancement of decompressed transform coded images that works remarkably well in "deblocking" of DCT compressed images.
Abstract
We propose a novel method based on wavelet thresholding for enhancement of decompressed transform coded images. Transform coding at low bit rates typically introduces artifacts associated with the basis functions of the transform. In particular, the method works remarkably well in "deblocking" of DCT compressed images. The method is nonlinear, computationally efficient, and spatially adaptive and has the distinct feature that it removes artifacts yet retain sharp features in the images. An important implication of this result is that images coded using the JPEG standard can efficiently be postprocessed to give significantly improved visual quality in the images. The algorithm can use a conventional JPEG encoder and decoder for which VLSI chips are available. >

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Citations
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Journal ArticleDOI

A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations

TL;DR: This paper introduces a new approach to deblocking of JPEG compressed images using overcomplete wavelet representations using cross-scale correlations among wavelet coefficients, which is capable of achieving the same peak signal-to-noise ratio (PSNR) improvement as the best iterative method and giving visually very pleasing images as well.
Journal ArticleDOI

Review of Postprocessing Techniques for Compression Artifact Removal

TL;DR: A review and analysis of recent developments in postprocessing techniques, including various types of compression artifacts, two types of postprocessing algorithms based on image enhancement and restoration principles and current bottlenecks are addressed.
Journal ArticleDOI

Blocking artifacts suppression in block-coded images using overcomplete wavelet representation

TL;DR: A noniterative, wavelet-based deblocking algorithm that can suppress both block discontinuities and ringing artifacts effectively while preserving true edges and textural information is proposed.
Patent

Image data post-processing method for reducing quantization effect, apparatus therefor

TL;DR: In this article, an image data post-processing method for reducing quantization effect induced when image data compressed based on a block is decoded, and an apparatus therefor is presented.
Journal ArticleDOI

Enhancement of JPEG-Compressed Images by Re-application of JPEG

TL;DR: This approach simply re-applies JPEG to the shifted versions of the already-compressed image, and forms an average, which offers better performance than other known methods, including those based on nonlinear filtering, POCS, and redundant wavelets.
References
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De-noising by soft-thresholding

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Entropy-based algorithms for best basis selection

TL;DR: Adapted waveform analysis uses a library of orthonormal bases and an efficiency functional to match a basis to a given signal or family of signals, and relies heavily on the remarkable orthogonality properties of the new libraries.
Book

JPEG: Still Image Data Compression Standard

TL;DR: This chapter discusses JPEG Syntax and Data Organization, the history of JPEG, and some of the aspects of the Human Visual Systems that make up JPEG.
Journal ArticleDOI

Wavelets on the Interval and Fast Wavelet Transforms

TL;DR: In this paper, the authors discuss several constructions of orthonormal wavelet bases on the interval, and introduce a new construction that avoids some of the disadvantages of earlier constructions.
Journal ArticleDOI

Signal compression based on models of human perception

TL;DR: It is proposed that fundamental limits in the science can be expressed by the semiquantitative concepts of perceptual entropy and the perceptual distortion-rate function, and current compression technology is examined in that framework.
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