Proceedings Article10.1109/ICASSP.2005.1415398
Multiple description image coding using natural scene statistics
Sumohana S. Channappayya,Robert W. Heath,Alan C. Bovik +2 more
- 18 Mar 2005
- Vol. 2, pp 289-292
TL;DR: An error-resilient image communications application that uses the GSM model and multiple description coding (MDC) to provide error- Resilience, and derives a rate-distortion bound for GSM random variables, derive the redundancy rate- Distortion function, and finally implement an MD image communication system.
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Abstract: The statistics of natural scenes in the wavelet domain are accurately characterized by the Gaussian scale mixture (GSM) model. The model lends itself easily to analysis and many applications that use this model are emerging (e.g., denoising, watermark detection). We present an error-resilient image communications application that uses the GSM model and multiple description coding (MDC) to provide error-resilience. We derive a rate-distortion bound for GSM random variables, derive the redundancy rate-distortion function, and finally implement an MD image communication system.
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Citations
Optimal Multiple Description Image Coding Transform in the Wavelet Domain
B. Bahi,El Hassan Ibn Elhaj,Driss Aboutajdine +2 more
- 01 Nov 2007
TL;DR: A multiple description image coding scheme to generate two compressed and balanced rates descriptions in the wavelet domain (Daubechies biorthogonal (9, 7) wavelet) using pairwise correlating transform optimal is proposed.
2
•Journal Article
Optimal and Generalized Multiple Descriptions Image Coding Transform in the Wavelet Domain
TL;DR: A performance test has shown that the proposed method gives more improvement and good quality of the reconstructed image when the wavelet coefficients are normalized by Gaussian Scale Mixture (GSM) model then the Gaussian one.
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- 29 Nov 1999
TL;DR: In this paper, the authors examined properties of the class of Gaussian scale mixtures, and showed that these densities can accurately characterize both the marginal and joint distributions of natural image wavelet coefficients.
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