On compression characteristics of white band and narrow band images using hybrid DCT and DWT

Author

Raju, C. Sathi ; Rama Koti Reddy, D.V.

Author_Institution

WIPRO Technol., Visakhapatnam, India

fYear

2015

fDate

26-27 Feb. 2015

Firstpage

827

Lastpage

830

Abstract

Compression is a serious problem in capsule endoscopy applications. It dictates the power consumption characteristics and the capsule life. In this paper a hybrid DCT and DWT compression method is employed to capitalise the advantages of both the techniques. The method involves in generating color data of the white band and narrow band images in an intermediate format and then generating the decompressed image. The quality of the decompressed image is evaluated in terms of mean square error (MSE), signal to noise ratio (SNR) and peak signal to noise ratio (PSNR).

Keywords

data compression; discrete cosine transforms; discrete wavelet transforms; endoscopes; image colour analysis; mean square error methods; medical image processing; MSE; PSNR; SNR; capsule endoscopy applications; color data; compression characteristics; hybrid DCT compression method; hybrid DWT compression method; image decompression; mean square error; narrow band images; peak signal to noise ratio; power consumption characteristics; signal to noise ratio; white band images; Discrete cosine transforms; Discrete wavelet transforms; Diseases; Endoscopes; Image coding; Image color analysis; Signal to noise ratio; Compression; DCT; DWT; MSE; PSNR; SNR;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Communication Systems (ICECS), 2015 2nd International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-7224-1

Type

conf

DOI

10.1109/ECS.2015.7125028

Filename

7125028