Endoscopic image compression based on Double Density Discrete Wavelet Transform and SPIHT coding

Author

Gopi, Varun P. ; Palanisamy, P.

Author_Institution

Dept. of Electron. & Commun. Eengineering, Nat. Inst. of Technol., Tiruchirappalli, India

fYear

2011

fDate

25-27 Nov. 2011

Firstpage

466

Lastpage

471

Abstract

Wireless capsule endoscopy is a non-invasive test to diagnose gastrointestinal diseases, mainly in small intestinal pathology. The paper describes a new image compression algorithm which is suitable for wireless capsule endoscopic images. The compression scheme is based on Double Density Discrete Wavelet Transform (DD-DWT) and Set Partitioning in Hierarchical Trees (SPIHT) coding. Experimental results show that the proposed image compression scheme is better compared with traditional wavelet compression methods.

Keywords

data compression; discrete wavelet transforms; diseases; endoscopes; image coding; medical image processing; set theory; trees (mathematics); double density discrete wavelet transform; endoscopic image compression; gastrointestinal disease diagnosis; intestinal pathology; noninvasive testing; set partitioning in hierarchical trees coding; wireless capsule endoscopy; Biomedical imaging; Discrete wavelet transforms; Image coding; Image quality; PSNR; Compression ratio; Double Density Discrete Wavelet Transform; PSNR; SPIHT; wireless capsule endoscopy;

fLanguage

English

Publisher

ieee

Conference_Titel

Control System, Computing and Engineering (ICCSCE), 2011 IEEE International Conference on

Conference_Location

Penang

Print_ISBN

978-1-4577-1640-9

Type

conf

DOI

10.1109/ICCSCE.2011.6190571

Filename

6190571