Abstract
This contribution addressees the problem of the theoretical assessment of the bit rate reduction that can be achieved through foveated image compression for codecs operating in the DCT domain. Modeling the image components as Compound Gaussian Random Fields (CGRFs), we extend the mathematical analysis of the DCT coefficient distributions reported in [1] to foveated images. As a general result, we demonstrate that the DCT coefficients of low pass filtered image blocks can be effectively modelled with Laplacian distributions. This property allows us to express the Shannon rate reduction achievable with foveated compression in a simple and compact form as function of the foveal filter coefficients. Experiments results used to validate the theoretical analysis are also included.
This work was carried out in the context of the research activities of CoRiTeL Consortium, Via Anagnina 203, 00040 Rome, Italy.
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Iacovoni, G., Morsa, S., Neri, A. (2005). Entropy Reduction of Foveated DCT Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2005. Lecture Notes in Computer Science, vol 3708. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558484_50
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DOI: https://doi.org/10.1007/11558484_50
Publisher Name: Springer, Berlin, Heidelberg
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