Paper Info
Title
A New Quantization Improvement of SPIHT for Wavelet Image Coding
Abstract
The SPIHT (set partitioning in hierarchical trees) algotithm has attracted great attention in recent years as a technique for image coding. Not only does it give good objective and subjective performance, it is also simple and efficient. In this paper, we investigate the problem of how to quantize the wavelet coefficients in the lowest frequency subband with multi-scalar method. A novel wavelet image coding algorithm using multi-scalar quantization based on SPIHT is proposed. First, in the higher bit plane, this algorithm only quantizes the wavelet coefficients in the lowest frequency subband. Then it quantizs other ones by uniform scalar. Experiment results have shown the proposed scheme improves the performance of wavelet image coders. In particular, it will get better coding gain in the low bit rates image coding.
Year
DOI
Venue
2009
10.1007/978-3-642-01510-6_104
ISNN (2)
Keywords
Field
DocType
multi-scalar method,novel wavelet image,coding gain,lowest frequency subband,higher bit plane,image coding,low bit rates image,new quantization improvement,multi-scalar quantization,wavelet coefficient,wavelet image coders,wavelet image coding,set partitioning in hierarchical trees,wavelet transform
Coding gain,Pattern recognition,Set partitioning in hierarchical trees,Computer science,Artificial intelligence,Harmonic Vector Excitation Coding,Shannon–Fano coding,Quantization (signal processing),Wavelet packet decomposition,Wavelet,Wavelet transform
Conference
Volume
ISSN
Citations 
5552
0302-9743
2
PageRank 
References 
Authors
0.38
8
3
Name
Order
Citations
PageRank
Wentao Wang120.38
Guoyou Wang213114.77
Tianxu Zhang320623.18