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

fYear

2009

fDate

11-13 June 2009

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICBBE.2009.5162768

Filename

5162768