Hierarchical quantization indexing for wavelet and wavelet packet image coding

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Küçük Resim

Tarih

2010-02

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Yayıncı

Elsevier Science BV

Erişim Hakkı

info:eu-repo/semantics/closedAccess

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Özet

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.

Açıklama

This research was supported by Isik University BAP-05B302 Grant

Anahtar Kelimeler

Image coding, Wavelets, Wavelet packets, Classification, Hierarchy, Space-frequency quantization, Classification, 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

Kaynak

Signal Processing: Image Communication

WoS Q Değeri

Q2

Scopus Q Değeri

Q1

Cilt

25

Sayı

2

Künye

Ateş, H. F. & Tamer, E. (2010). Hierarchical quantization indexing for wavelet and wavelet packet image coding. Signal Processing: Image Communication, 25(2), 111-120. doi:10.1016/j.image.2009.09.007