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.<>
Wavelet-based post-processing of low bit rate transform coded images
Proceedings of 1st International Conference on Image Processing ; 2 ; 913-917 vol.2
1994-01-01
520162 byte
Conference paper
Electronic Resource
English
Wavelet-Based Post-Processing of Low Bit Rate Transform Coded Images
British Library Conference Proceedings | 1994
|Postprocessing of transform coded images via histogram-based edge classification
British Library Online Contents | 1997
|Series microscopy images fusion based on area wavelet transform
British Library Online Contents | 2006
|British Library Online Contents | 2010
|Convex Projections Restoration of Hadamard Naturalness-Preserving Transform-Coded Images
British Library Conference Proceedings | 1998
|