Wavelet image coding using the spherical representation

Autor: Michael T. Orchard, Hasan Fehmi Ateş
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