Title :
Embedded Medical Image Coding Using Quantization Improvement of SPIHT
Author :
Wang, Wentao ; Wang, GuoyouWang ; Zhang, Tianxu ; Zeng, Guangping
Author_Institution :
Institude for Pattern Recognition & Artificial Intell., Huazhong Univ. of Sci. & Technol. Wuhan, Wuhan, China
Abstract :
In this paper we investigate the problem of how to quantize the wavelet coefficients in the lowest frequency subband with multi-scalar method. A new quantization implementation of efficient lossy medical image compression using the Set Partitioning in Hierarchical Trees (SPIHT) algorithm at low bit rates is proposed. First, in the higher bit plane, this algorithm only quantizes the wavelet coefficients in the lowest frequency subband. Then it quantizes 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 rate image coding.
Keywords :
data compression; image coding; medical image processing; quantisation (signal); trees (mathematics); wavelet transforms; SPIHT; coding gain; digital medical image; embedded medical image coding; lossy medical image compression; multiscalar method; quantization improvement; set partitioning-in-hierarchical trees algorithm; wavelet coefficient; wavelet image coder; Biomedical imaging; Bit rate; Computed tomography; Filters; Frequency; Image coding; Medical diagnostic imaging; Partitioning algorithms; Quantization; Wavelet coefficients;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5162768
