A multiple description coding based on SPIHT algorithm with WiMAX modulations for color images

This study presents a multiple description coding (MDC) with WiMAX modulations for color images. The proposed approach uses the set partitioning in hierarchical trees (SPIHT) algorithm to compress images, employs a poly-phase sampling technique to generate multiple descriptions and develops a transm...

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Bibliographic Details
Published inJournal of communications technology & electronics Vol. 58; no. 12; pp. 1205 - 1215
Main Authors Huang, Chin-Pan, Hwang, Bor-Jiunn, Mao, Chia-I, Wang, Wei-Chuan
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.12.2013
Springer
Springer Nature B.V
Subjects
Algorithms
Analysis
Communications Engineering
Communications technology
Data compression
Efficiency
Engineering
Image coding
Methods
Multimedia
Multimedia communications
Networks
Studies
Theory and Methods of Signal Processing
Wavelet transforms
Wi-Max
Wireless networks
MDC
poly-phase sampling
wavelet transform
SPIHT
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Summary:This study presents a multiple description coding (MDC) with WiMAX modulations for color images. The proposed approach uses the set partitioning in hierarchical trees (SPIHT) algorithm to compress images, employs a poly-phase sampling technique to generate multiple descriptions and develops a transmitting principle for WiMAX to adapt to varying wireless network environments. As a result, our proposed method achieves high performance of image compression, obtains superior capabilities of conquering packet losses and has excellent quality of reconstructed images. Besides, by encoding the three components (Red, Green, and Blue) separately and interleaving the produced encoding results for transmission it extends progressive reconstruction for a color image. Furthermore, the proposed method is highly flexible for practical applications. Extensive experiments are performed and their results demonstrate promising characteristics and performances of the proposed method.
ISSN:1064-2269
1555-6557
DOI:10.1134/S1064226913130019