Paper
14 March 2013 Progressive diversity allocation for progressive transmission of SPIHT packets in erasure channels
Author Affiliations +
Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87687G (2013) https://doi.org/10.1117/12.2010075
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore
Abstract
The SPIHT (set partitioning in hierarchical trees) algorithm, which works with the aid of the discrete wavelet transform (DWT), is one of the most renowned techniques for image compression. One problem with SPIHT image coding, especially when image transmission is involved, is that even just as few as one error in the embedded code sequence can render the decoded image completely unrecognizable. In this paper, we propose a scheme in which an SPIHT code sequence is packetized into two types: CP (critical packet) and RP (refinement packet). Then, we address the transmission of those SPIHT packets over erasure channels. The basic idea is to provide unequal error protection (UEP) to those packets by diversity (i.e., repeated transmissions) so that, at the receiver, the decoded image quality (measured in the expected SNR, signal-to-noise-ratio) is as good as possible. A diversity allocation (DA) algorithm, referred to as progressive diversity allocation (PDA), is proposed. It works in a fashion and is naturally compatible with the progressive transmission of SPIHT-encoded images. Experiments show that the PDA scheme produces good results, nearly as good as achieved by the method of full search.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kuen-Tsair Lay and Lee-Jyi Wang "Progressive diversity allocation for progressive transmission of SPIHT packets in erasure channels", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87687G (14 March 2013); https://doi.org/10.1117/12.2010075
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KEYWORDS
Personal digital assistants

Signal to noise ratio

Image transmission

Image compression

Rubidium

Discrete wavelet transforms

Error control coding

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