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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/70347


    Title: Complexity Reduction for 2-D Integer Lifting-Based Discrete Wavelet Transform Using Symmetric Mask-Based Scheme
    Authors: Hsia, Chih-hsien;Guo, Jing-ming;Chiang, Jen-shiun
    Contributors: 淡江大學電機工程學系
    Date: 2006
    Issue Date: 2011-10-23 21:12:01 (UTC+8)
    Publisher: London, England: Institute for Public Policy Research (IPPR)
    Abstract: Wavelet coding has been shown to be better than Discrete Cosine Transform (DCT) in image processing. Moreover, it has the feature of scalability, which is involved in modern video standards. This work presents novel algorithms, namely 2-D Symmetric Mask-based Discrete Wavelet Transform (SMDWT), to improve the critical issue of the 2-D lifting-based discrete wavelet transform (LDWT), and then obtain the benefit of low latency, high-speed operation, and low temporal memory. The SMDWT also has the advantages of high-performance embedded periodic extension boundary treatment, regular signal coding, short critical path, reduced latency time, and independent subband coding processing. Moreover, the 2-D lifting-based DWT performance can also be easily improved by exploiting appropriate parallel method inherently in SMDWT. Comparing with the normal 2-D 5/3 integer lifting-based DWT, the proposed method significantly improves lifting-based latency and complexity in 2-D DWT without degradation in image quality. The algorithm can be applied to real-time image/video applications, such as JPEG 2000, MPEG-4 still texture coding, and Scalable Video Coding (SVC).
    Relation: 中華民國影像處理與圖形識別學會(IPPR)95年會員大會暨第十九屆電腦視覺、圖學暨影像處理研討會(CVGIP 2006)論文集;Proceedings of Computer Vision, Graphics and Image Processing Conference, 8p.
    Appears in Collections:[電機工程學系暨研究所] 會議論文

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