報告題目：The Perceptually Transparent Coding for Image
報告人： 顏慶義教授（香港中文大學(xué)電子工程學(xué)系系主任）
報告時間： 2009年4月30日 (星期四) 下午3:00-4:30
報告地點：行健樓407會議室
聯(lián)系人： 張兆楊教授、劉志副教授（上海大學(xué)9999js金沙老品牌）
報告簡介:
In this talk, an improved transparent image coding algorithm is presented, where the quantization factor can be tuned for each block according to the just-noticeable distortion (JND). The experimental results show that the images compressed by the proposed method are hardly distinguished from the original images. Therefore, the proposed method can achieve perceptually transparent quality for images. Moreover, the bitrate of the proposed algorithm is less than that of the state-of-the-arts lossless and near-lossless codecs.
Brief Biography of Prof. King Ngi Ngan
King N. Ngan holds a Ph.D. degree in Electrical Engineering from Loughborough University of Technology, U.K. He is a chair professor in the Department of Electronic Engineering, the Chinese University of Hong Kong, Hong Kong and was previously a full professor in the Nanyang Technological University, Singapore, and the University of Western Australia, Australia.
Professor Ngan is an associate editor of the Journal on Visual Communications and Image Representation, U.S.A., as well as an area editor of EURASIP Journal of Signal Processing: Image Communication, and served as an associate editor of IEEE Transactions on Circuits and Systems for Video Technology and Journal of Applied Signal Processing. He chaired a number of prestigious international conferences on video signal processing and communications and served on the advisory and technical committees of numerous professional organizations. He is the Co-Chair of the IEEE International Conference on Image Processing (ICIP) to be held in Hong Kong in 2010. He has published extensively including 3 authored books, 5 edited volumes and over 250 refereed technical papers in the areas of image/video coding and communications.
Professor Ngan is a Fellow of IEEE (U.S.A.), a Fellow of IET (U.K.), and a Fellow of IEAust (Australia).
