Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article A Subsample-Based Low-Power Image Compressor for Capsule Gastrointestinal Endoscopy | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 257095 15 pages doi 2011 257095 Research Article A Subsample-Based Low-Power Image Compressor for Capsule Gastrointestinal Endoscopy Meng-Chun Lin1 and Lan-Rong Dung2 department of IC Design Avisonic Technology Corporation No. 12 Innovation 1st Road Hsinchu Science Park Hsinchu 300 Taiwan 2 Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Correspondence should be addressed to Meng-Chun Lin Received 4 August 2010 Revised 8 November 2010 Accepted 4 January 2011 Academic Editor Dimitrios Tzovaras Copyright 2011 . Lin and . Dung. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. In the design of capsule endoscope the trade-offs between battery-life and video-quality is imperative. Typically the resolution of capsule gastrointestinal GI image is limited for the power consumption and bandwidth of RF transmitter. Many fast compression algorithms for reducing computation load however they may result in a distortion of the original image which is not suitable for the use of medical care. This paper presents a novel image compression for capsule gastrointestinal endoscopy called GICam-II motivated by the reddish feature of GI image. The reddish feature makes the luminance or sharpness of GI image sensitive to the red component as well as the green component. We focus on a series of mathematical statistics to systematically analyze the color sensitivity in GI images from the RGB color space domain to the two-dimensional discrete-cosine-transform spatial frequency domain. To reduce the compressed image size GICam-II downsamples the blue component without essential loss of image detail and also subsamples the green component from .
