JOURNAL ARTICLE

<title>Reversible transform coding of images</title>

Kunitoshi KomatsuKaoru Sezaki

Year: 1996 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 2727 Pages: 1094-1103   Publisher: SPIE

Abstract

Though reversible predictive coding and reversible subband coding exist already as reversible coding of gray-level still images, reversible method has almost not been proposed against transform coding. Therefore, in this paper, we propose some reversible transform coding methods. In case that we use conventional transform coding as it is, we have to make the number of levels of the transform coefficient very large in order to reconstruct the input signal with no distortion. Therefore, we propose transform codings that have reversibility whereas the number of levels of the transform coefficient are not very large. We propose reversible coding methods that correspond to the discrete Walsh-Hadamard, Haar, and cosine transform. Furthermore, we propose a method that uses the difference of the n-th order, a method of which the number of levels of the transform coefficient is the same as that of the input signal, and a reversible overlap transform coding method. Simulation shows that the compression efficiency of the proposed method is almost the same as that of predictive coding.

Keywords:
Hadamard transform Transform coding Lapped transform Discrete cosine transform Algorithm Coding (social sciences) S transform Sub-band coding Computer science Mathematics Variable-length code Artificial intelligence Wavelet transform Discrete wavelet transform Decoding methods Statistics Image (mathematics) Mathematical analysis

Metrics

12
Cited By
1.91
FWCI (Field Weighted Citation Impact)
0
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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