NDLI: Subsample-based image compression for capsule endoscopy

Content Provider	Springer Nature Link
Author	Khan, Tareq Hasan Wahid, Khan A.
Copyright Year	2011
Abstract	The key design challenge in capsule endoscopic system is to reduce the area and power consumption while maintaining acceptable video quality. In this paper, a subsample-based image compressor for such endoscopic application is presented. The algorithm is developed around some special features of endoscopic images. It consists of a differential pulse coded modulation followed by Golomb-rice coding. Based on the nature of endoscopic images, several subsampling schemes on the chrominance components are applied. This scheme is particularly suitable to work with any commercial low-power image sensors that outputs image pixels in a raster scan fashion, eliminating the need of memory buffer, as well as temporary storage (as needed in transform coding schemes). An image corner clipping algorithm is also presented. The reconstructed images have been verified by medical doctors for acceptability. The proposed algorithm has a very low complexity and is suitable for the VLSI implementation. Compared to other transform-based algorithms targeted to capsule endoscopy, the proposed raster-scan-based scheme performs very strongly with a compression ratio of 80% and a very high reconstruction PSNR (over 45 dB).
Starting Page	5
Ending Page	19
Page Count	15
File Format	PDF
ISSN	18618200
Journal	Journal of Real-Time Image Processing
Volume Number	8
Issue Number	1
e-ISSN	18618219
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-07-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Differential pulse coded modulation Capsule endoscopic application Golomb coding Image compression Image Processing and Computer Vision Multimedia Information Systems Computer Graphics Pattern Recognition Signal, Image and Speech Processing
Content Type	Text
Resource Type	Article
Subject	Information Systems

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