Proceedings ArticleDOI
Modified ICA algorithms for finding optimal transforms in transform coding
M. Narozny,M. Barret,D.-T. Pham,I.P. Akam-Bita +3 more
- pp 111-116
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TLDR
Comparison of the performances in high-rate transform coding between the classical Karhunen-Loeve Transform (KLT) and the transforms returned by the new algorithms are given.Abstract:
In this paper we present two new algorithms that compute the linear optimal transform in high-rate transform coding, for non Gaussian data. One algorithm computes the optimal orthogonal transform, and the other the optimal linear transform. Comparison of the performances in high-rate transform coding between the classical Karhunen-Loeve Transform (KLT) and the transforms returned by the new algorithms are given. On synthetic data, the transforms given by the new algorithms perform significantly better that the KLT, however on real data all the transforms, included KLT, give roughly the same coding gain.read more
Citations
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Journal ArticleDOI
Spatio-chromatic decorrelation for color image compression
Mark S. Drew,Steven Bergner +1 more
TL;DR: The performance of the extracted spatio-chromatic spatial patch bases is evaluated in terms of quality of reconstruction with respect to their potential for data compression and a deeper understanding of the role played by chromatic features in data reduction is understood.
Journal ArticleDOI
ICA based algorithms for computing optimal 1-D linear block transforms in variable high-rate source coding
TL;DR: Experimental results show that the transforms introduced can achieve slightly better PSNR for high-rates and better visual quality for medium-to-low rates than the KLT and 2-D DCT on grayscale natural images.
Book ChapterDOI
Compression of multicomponent satellite images using independent components analysis
TL;DR: This paper compares the performance in high and medium rate coding of the Karhunen Loeve Transform with the transforms returned by the modified ICA algorithms, and finds the last transforms perform better than the KLT in term of compression gain in all cases.
Proceedings ArticleDOI
Lossy compression of MERIS superspectral images with exogenous quasi optimal coding transforms
TL;DR: The performances in coding of a quasi optimal spectral transform, called exogenous OrthOST, obtained by learning an orthogonal OST on a sample of superspectral images from the spectrometer MERIS are presented.
Dissertation
Synthèse de bancs de filtres adaptés, application à la compression des images.
TL;DR: In this article, a schema of decomposition consistant en un "lifting scheme generalise" is proposed to exploit toute l'information disponible au decodage dans l'etape de prediction.
References
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