期刊論文

標題 Improved low complexity algorithm for 2-D integer lifting-based discrete wavelet transform using symmetric mask-based scheme
學年 98
學期 1
出版(發表)日期 2009/08/01
作品名稱 Improved low complexity algorithm for 2-D integer lifting-based discrete wavelet transform using symmetric mask-based scheme
作品名稱(其他語言)
著者 Hsia, Chih-Hsien; Chiang, Jen-Shiun; Guo, Jing-Ming
單位 淡江大學電機工程學系
出版者 Piscataway: Institute of Electrical and Electronics Engineers
著錄名稱、卷期、頁數 IEEE Transactions on Circuits and Systems for Video Technology 19(8), pp.1202-1208
摘要 Wavelet coding performs better than discrete cosine transform in visual processing. Moreover, it is scalable, which is important for modern video standards. The transpose memory requirement and operation speed are the two major concerns in 2-D lifting-based discrete wavelet transform (LDWT) implementation. This letter presents a novel algorithm, called 2-D symmetric mask-based discrete wavelet transform (SMDWT), to improve the critical issue of the 2-D LDWT, and then obtains the benefit of low-latency reduced complexity, and low transpose memory. The SMDWT also has the advantages of reduced complexity, regular signal coding, short critical path, reduced latency time, and independent subband coding processing. Furthermore, the 2-D LDWT performance can also be easily improved by exploiting an appropriate parallel method inherent to SMDWT. The proposed method has a significantly better lifting-based latency and complexity in 2-D DWT than normal 2-D 5/3 integer LDWT without degradation in image quality. The algorithm can be applied to real-time image/video applications.
關鍵字 Lifting-based discrete wavelet transform (LDWT);reduced complexity;symmetric mask-based discrete wavelet transform (SMDWT);transpose memory
語言 英文
ISSN 1051-8215
期刊性質 國外
收錄於 SCI;EI
產學合作
通訊作者 Hsia, Chih-Hsien; Chiang, Jen-Shiun; Guo, Jing-Ming
審稿制度
國別 美國
公開徵稿
出版型式 紙本