An efficient YCgCo-based image compression algorithm for capsule endoscopy

Author

Mostafa, Atahar ; Wahid, Khan ; Ko, Seok-Bum

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada

fYear

2011

fDate

22-24 Dec. 2011

Firstpage

219

Lastpage

222

Abstract

An efficient YCgCo color space based image compression algorithm for the capsule endoscopy application is presented in this paper. The algorithm is developed taking the advantage of the special characteristics of the endoscopic images and the energy compaction capabilities of the YCgCo color plane. The compression scheme provides high reconstruction image quality (PSNR of over 52dB) and competitive compression ratio (over 80%). The algorithm uses integer-based forward transform followed by a simple implementation-friendly quantization stage that requires less hardware cost, and thus is suitable for power limited wireless capsule endoscope systems.

Keywords

competitive algorithms; data compression; discrete cosine transforms; endoscopes; image coding; image colour analysis; image reconstruction; medical image processing; DTC; YCgCo color space-based image compression algorithm; capsule endoscopy; competitive compression ratio; energy compaction capabilities; hardware cost; high reconstruction image quality; implementation-friendly quantization stage; integer-based forward transform; power limited wireless capsule endoscope systems; Biomedical imaging; Colon; Discrete cosine transforms; Encoding; Hardware; Image coding; Image segmentation; Capsule Endoscopy; Image Compression; Integer DCT; Quantization Table; YCgCo color plane;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (ICCIT), 2011 14th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-61284-907-2

Type

conf

DOI

10.1109/ICCITechn.2011.6164787

Filename

6164787