Wavelet image coding using the spherical representation
Autor: | Michael T. Orchard, Hasan Fehmi Ateş |
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Přispěvatelé: | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü, Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering, Ateş, Hasan Fehmi |
Jazyk: | angličtina |
Rok vydání: | 2005 |
Předmět: |
Discrete wavelet transform
Compression algorithms Wavelet subbands Coding algorithms Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Cascade algorithm Image information Data_CODINGANDINFORMATIONTHEORY Wavelet image coding Spherical representation Wavelet packet decomposition Energy measurement Set partitioning in hierarchical trees Wavelet transforms Wavelet Image resolution Computer Science::Multimedia Individual wavelet coefficients Practical coding algorithm Computer vision Energy resolution Mathematics State-of-art coders Information analysis business.industry Second-generation wavelet transform PSNR Wavelet transform Image coding Subband information Wavelet coefficients Bit rate Local energy Hierarchical systems Power engineering and energy Wavelet domain Artificial intelligence business Algorithm Set Image representation Algorithms |
Zdroj: | ICIP (1) |
Popis: | In this paper, we introduce the "spherical representation", which provides a new adaptive framework for modeling and coding the image information in wavelet subbands. Based on this representation, a practical coding algorithm is developed. This coder uses local energy as a direct measure to differentiate between parts of the wavelet subband and to decide how to allocate the available bitrate. As local energy becomes available at finer resolutions, i.e. in smaller size windows, the coder automatically updates its decisions about how to spend the bitrate. We use a hierarchical set of variables to specify and code the local energy up to the highest resolution, i.e. the energy of individual wavelet coefficients. The overall scheme is nonredundant, meaning that the subband information is conveyed using this equivalent set of variables without the need for any side parameters. Despite its simplicity, the algorithm produces PSNR results that are competitive with the state-of-art coders in literature. Publisher's Version WOS:000235773300174 |
Databáze: | OpenAIRE |
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