By Roumen Anguelov, Inger Fabris-Rotelli (auth.), Abderrahim Elmoataz, Olivier Lezoray, Fathallah Nouboud, Driss Mammass (eds.)
This booklet constitutes the refereed complaints of the 3rd foreign convention on photo and sign Processing, ICISP 2008, held in Cherbourg-Octeville, France, in July 2008.
The forty eight revised complete papers and 22 revised poster papers offered have been rigorously reviewed and chosen from 193 submissions. The papers are prepared in topical sections on picture filtering, photo segmentation, laptop imaginative and prescient, function extraction, development popularity, graph-based representations, movement detection and estimation, new interfaces, record processing, and sign processing.
Read or Download Image and Signal Processing: 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1 - 3, 2008. Proceedings PDF
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Extra resources for Image and Signal Processing: 3rd International Conference, ICISP 2008. Cherbourg-Octeville, France, July 1 - 3, 2008. Proceedings
Following recent work, color image decomposition appears as a good way to reach these diﬀerent aims, however, to our best knowledge, no proposed model is currently able to deal with temporal aspect, inherent to color image sequences. The major contribution of this paper is to adapt static decomposition model to time aspect in order to deal with videos and color image sequences. In this paper we propose an extended decomposition model which splits a video into two components, a ﬁrst one containing geometrical information, the structure of the sequence and a second one dynamic color texture and noise.
Proc. 9(3), 505–510 (2000) 10. : An Image Enhancement Technique Combining Sharpening and Noise Reduction. IEEE Trans. on Instr. and Measur. 51(4), 824–828 (2002) 11. : New Concepts on Denoising and Sharpening of Video Signals. IEEE Trans. on Cons. El. 47(3), 666–671 (2001) 12. : Circuit Arrangement to Accentuate the Sharpness and Attenuate the Noise of a Television Image. European Patent EP95101009 (1994) 13. : Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal. In: IEEE Int.
8) , , . , guaranteed through inverse wavelet transform if, . and . , Haar, Daubechies, and Coiflet). 3 Wavelet Diffusion In this section, we show that the standard discrete wavelet transform can be considered as having the same form as a single discrete step (4) of nonlinear diffusion. Equation (4) can be transformed into Fourier domain: , , , , 1 ̂ , , (11) 2 1 ̂ , , 2 24 K. Rajpoot, N. A. Noble substituting 1 ̂ and 1 . , , , , , , ̂ , we obtain: , 2. 1. , . ̂ . ̂ . , (12) , ̂ . , Taking the inverse Fourier transform of the above equation: 1 , , 1 , , , 2 .