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    題名: 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
    貢獻者: 淡江大學電機工程學系
    關鍵詞: Lifting-based discrete wavelet transform (LDWT);reduced complexity;symmetric mask-based discrete wavelet transform (SMDWT);transpose memory
    日期: 2009-08
    上傳時間: 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
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