Improved low complexity algorithm for 2-D integer lifting-based discrete wavelet transform using symmetric mask-based scheme

doi:10.1109/TCSVT.2009.2020259

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/60967

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/60967

题名:	Improved low complexity algorithm for 2-D integer lifting-based discrete wavelet transform using symmetric mask-based scheme
作者:	Hsia, Chih-Hsien;Chiang, Jen-Shiun;Guo, Jing-Ming
贡献者:	淡江大學電機工程學系
关键词:	Lifting-based discrete wavelet transform (LDWT);reduced complexity;symmetric mask-based discrete wavelet transform (SMDWT);transpose memory
日期:	2009-08
上传时间:	2011-10-15 01:10:13 (UTC+8)
出版者:	Piscataway: Institute of Electrical and Electronics Engineers
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.
關聯:	IEEE Transactions on Circuits and Systems for Video Technology 19(8), pp.1202-1208
DOI:	10.1109/TCSVT.2009.2020259
显示于类别:	[電機工程學系暨研究所] 期刊論文

文件中的档案:

档案	大小	格式	浏览次数
index.html	0Kb	HTML	374	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....