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Báo cáo hóa học: " Research Article Collaborative Image Coding and Transmission over Wireless Sensor Networks"

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 Collaborative Image Coding and Transmission over Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2007 Article ID 70481 9 pages doi 10.1155 2007 70481 Research Article Collaborative Image Coding and Transmission over Wireless Sensor Networks Min Wu1 and Chang Wen Chen2 1MAKO Surgical Corporation Fort Lauderdale FL 33317 USA 2 Department of Electrical and Computer Engineering Florida Institute of Technology FIT Melbourne FL32901 USA Received 6 February 2006 Revised 3 August 2006 Accepted 13 August 2006 Recommended by Chun-Shien Lu The imaging sensors are able to provide intuitive visual information for quick recognition and decision. However imaging sensors usually generate vast amount of data. Therefore processing and coding of image data collected in a sensor network for the purpose of energy efficient transmission poses a significant technical challenge. In particular multiple sensors may be collecting similar visual information simultaneously. We propose in this paper a novel collaborative image coding and transmission scheme to minimize the energy for data transmission. First we apply a shape matching method to coarsely register images to find out maximal overlap to exploit the spatial correlation between images acquired from neighboring sensors. For a given image sequence we transmit background image only once. A lightweight and efficient background subtraction method is employed to detect targets. Only the regions of target and their spatial locations are transmitted to the monitoring center. The whole image can then be reconstructed by fusing the background and the target images as well as their spatial locations. Experimental results show that the energy for image transmission can indeed be greatly reduced with collaborative image coding and transmission. Copyright 2007 M. Wu and C. W. Chen. 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 .