會議論文

標題 A novel fast algorithm based on SMDWT for visual processing applications
學年 97
學期 1
發表日期 2009/05/24
作品名稱 A novel fast algorithm based on SMDWT for visual processing applications
作品名稱(其他語言)
著者 Hsia, Chih-Hsien; Guo, Jing-Ming; Chiang, Jen-Shiun; Lin, Chia-Hui
作品所屬單位 淡江大學電機工程學系
出版者 New York: Institute of Electrical and Electronics Engineers (IEEE)
會議名稱 Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on
會議地點
摘要 This work presents a fast algorithm, namely 2-D symmetric mask-based discrete wavelet transform (SMDWT), to address some critical issues of the 2-D discrete wavelet transform (DWT). Unlike the traditional DWT involving dependent decompositions, the SMDWT itself is subband processing independent, which can significantly reduce complexity. Moreover, DWT cannot directly obtain target subbands, which leads to an extra wasting in transpose memory, critical path, and operation time. These problems can be fully improved with the proposed SMDWT. Nowadays, many applications employ DWT as the core transformation approach, the problems indicated above have motivated researchers to develop fast algorithms for DWT. The proposed SMDWT has been proved as a highly efficient independent processing to yield target subbands which can be applied to real-time visual applications, such as moving object detection and tracking, texture segmentation, image/video compression, and any DWT-based applications.
關鍵字
語言 英文
收錄於
會議性質
校內研討會地點
研討會時間 20090524~20090527
通訊作者
國別
公開徵稿
出版型式
出處 Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on, pp.762-765