教師資料查詢 | 類別: 會議論文 | 教師: 陳巽璋 Shiunn-jang Chern (瀏覽個人網頁)

標題:Degradation Algorithm of Compressive Sensing for Integer DCT with Application to H.264/AVC
學年
學期
發表日期2013/11/12
作品名稱Degradation Algorithm of Compressive Sensing for Integer DCT with Application to H.264/AVC
作品名稱(其他語言)
著者CHERN, Shiunn-Jang; Wu, Che-Wei; Hsieh, Ching-Tang
作品所屬單位淡江大學電機工程學系
出版者IEEE Circuits and Systems Society
會議名稱2013 International Symposium on
Intelligent Signal Processing and Communication Systems (ISPACS 2013)
會議地點Okinawa, Japan
摘要Compressive sensing (CS) is an innovative approach for the acquisition of signals having a sparse or compressible presentation in some basis. In this paper, we extend and
modify the previous compression work that uses the degradation algorithm of CS for JPEG with 2-D DCT to the H.264/AVC with the integer 2-D DCT. Through simulation results we show that the complexity with the new proposed scheme can be dramatically reduced, and simultaneously to achieve better PSNR performance compared with the conventional CS approach using the 2-D DCT transform.
關鍵字Compressing sensing;degradation algorithm;dimensional reduction;control matrix;
語言英文
收錄於EI
會議性質國際
校內研討會地點
研討會時間20131112~20131115
通訊作者CHERN (陳), Shiunn-Jang (巽璋)
國別日本
公開徵稿Y
出版型式電子版
出處Proceeding of 2013 International Symposium on
Intelligent Signal Processing and Communication Systems (ISPACS 2013), pp.42-46
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