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  • Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
  • MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering
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Spherical coding algorithm for wavelet image compression

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Date

2009-05

Author

Ateş, Hasan Fehmi
Orchard, Michael T.

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Citation

Ateş, H. F. & Orchard, M. T. (2009). Spherical coding algorithm for wavelet image compression. IEEE Transactions on Image Processing, 18(5), 1015-1024. doi:10.1109/TIP.2009.2014502

Abstract

In recent literature, there exist many high-performance wavelet coders that use different spatially adaptive coding techniques in order to exploit the spatial energy compaction property of the wavelet transform. Two crucial issues in adaptive methods are the level of flexibility and the coding efficiency achieved while modeling different image regions and allocating bitrate within the wavelet subbands. In this paper, we introduce the "spherical coder," which provides a new adaptive framework for handling these issues in a simple and effective manner. The 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.

Source

IEEE Transactions on Image Processing

Volume

18

Issue

5

URI

https://hdl.handle.net/11729/331
http://dx.doi.org/10.1109/TIP.2009.2014502

Collections

  • MF - Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü / Department of Electrical-Electronics Engineering [181]
  • PubMed İndeksli Yayın Koleksiyonu [102]
  • Scopus İndeksli Makale Koleksiyonu [916]
  • WoS İndeksli Makale Koleksiyonu [931]

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    Bu bildiride, dalgacık dönüşümü için geliştirdiğimiz küresel kodlama algoritmasının dalgacık paketlerine uyarlanması sunulmuştur. Bu kodlayıcıda yerel katsayı enerjisi, dalgacık altbantlarında varolan uzamsal bilgiyi ...
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