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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/80807

    Title: Complexity Reduction and Fast Algorithm for 2-D Integer Discrete Wavelet Transform Using Symmetric Mask-Based Scheme
    Authors: Hsia, Chih-Hsien;Guo, Jing-Ming;Chiang, Jen-Shiun
    Contributors: 淡江大學資訊工程學系
    Keywords: Communication, Networking & Broadcasting;Computing & Processing (Hardware/Software)
    Date: 2007
    Issue Date: 2013-03-07 14:00:45 (UTC+8)
    Abstract: Wavelet coding has been shown to be better than discrete cosine transform (DCT) in image/video 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 obtains 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, reduced complexity, 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 JPEG2000, MPEG-4 still texture object decoding, and wavelet-based Scalable Video Coding (SVC).
    Relation: Proceedings of the Ninth IEEE International Symposium on Multimedia (ISM 2007), pp.57-64
    DOI: 10.1109/ISM.2007.4412356
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

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