Academic Journal

Hierarchical quantization indexing for wavelet and wavelet packet image coding

Bibliographic Details
Title: Hierarchical quantization indexing for wavelet and wavelet packet image coding
Authors: Ateş, Hasan Fehmi, Tamer, Engin
Publisher Information: Elsevier Science BV
Publication Year: 2010
Collection: Işık Üniversitesi: DSpace Repository
Subject Terms: Image coding, Wavelets, Wavelet packets, Classification, Hierarchy, Space-frequency quantization, Algorithm, Set, Cost accounting, Feature extraction, Visual communication, Adaptive arithmetic coding, Class assignments, Coding efficiency, Cost analysis, Hierarchical classification, Membership information, Quantization index, Rate distortions, Wavelet packet coefficient, Wavelet subbands
Description: This research was supported by Isik University BAP-05B302 Grant ; In this paper, we introduce the quantization index hierarchy, which is used for efficient coding of quantized wavelet and wavelet packet coefficients. A hierarchical classification map is defined in each wavelet subband, which describes the quantized data through a series of index classes. Going from bottom to the top of the tree, neighboring coefficients are combined to form classes that represent some statistics of the quantization indices of these coefficients. Higher levels of the tree are constructed iteratively by repeating this class assignment to partition the coefficients into larger Subsets. The class assignments are optimized using a rate-distortion cost analysis. The optimized tree is coded hierarchically from top to bottom by coding the class membership information at each level of the tree. Context-adaptive arithmetic coding is used to improve coding efficiency. The developed algorithm produces PSNR results that are better than the state-of-art wavelet-based and wavelet packet-based coders in literature. ; Isik University ; Publisher's Version
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISBN: 978-0-00-275582-5
0-00-275582-3
Relation: Signal Processing: Image Communication; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; https://hdl.handle.net/11729/381; http://dx.doi.org/10.1016/j.image.2009.09.007; 25; 111; 120; Q2; WOS:000275582300004; Q1
DOI: 10.1016/j.image.2009.09.007
Availability: https://hdl.handle.net/11729/381
https://doi.org/10.1016/j.image.2009.09.007
Rights: info:eu-repo/semantics/closedAccess
Accession Number: edsbas.BF067273
Database: BASE
Description
ISBN:9780002755825
0002755823
DOI:10.1016/j.image.2009.09.007