Decomposition Strategies for Wavelet-Based Image Coding

Schremmer, Claudia

Document Type: Conference or workshop publication
Year of publication: 2001
Book title: Proceedings / Sixth International Symposium on Signal Processing and Applications, ISSPA 2001 : August 13 - 16 2001, Shangri-La Hotel, Kuala Lumpur, Malaysia
The title of a journal, publication series: IEEE International Symposium on Signal Processing and its Applications (ISSPA)
Volume: 2
Page range: 529-532
Place of publication: Los Alamitos, Calif. [u.a.]
Publishing house: IEEE Operations Center
ISBN: 0-7803-6703-0
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg -2017)
Subject: 004 Computer science, internet
Abstract: The wavelet transform has become the most interesting new algorithm for still image compression. Yet there are many parameters within a wavelet analysis and synthesis which govern the quality of a decoded image. In this paper, we discuss different decomposition strategies of a two-dimensional signal and their implications for the decoded image: a pool of gray-scale images has been wavelet-transformed with different settings of the wavelet filter bank, quantization threshold and decomposition method. Contrary to the new standard JPEG-2000, where non-standard decomposition is implemented, our investigation proposes standard decomposition for low-bitrate coding.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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