By Hidehiko Komatsu, Naokazu Goda (auth.), Alain Trémeau, Raimondo Schettini, Shoji Tominaga (eds.)
This booklet constitutes the completely refereed lawsuits of the second one Computational colour Imaging Workshop, CCIW 2009, which used to be held in Saint-Etienne, France, in March 2009.
The 23 revised complete papers, offered including one invited paper, have been conscientiously reviewed and chosen from forty submissions. The papers, which include a complete of 114 coloured figures, are oganized in topical sections on computational colour imaginative and prescient versions; colour fidelity; colour image/video indexing and retrieval; colour photo filtering and enhancement; colour copy (printing, scanning, displays); and multi-spectral, high-resolution and excessive dynamic diversity imaging.
Read or Download Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers PDF
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Additional resources for Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers
1 Introduction It is well established that signals encoded by three classes of cones (L, M and S) are combined at the retina to generate cone-opponent signals, which are then conveyed to the primary visual cortex via the lateral geniculate nucleus (LGN). The retinal and the LGN cone-opponent type of neurons are well modelled as a linear transformation of cone signals, L+M, L-M, and S-(L+M) with appropriate weights. In this framework, colours can be represented by a three-dimensional space consisting of three orthogonal axes, each of which exclusively represents signal of the L+M, L-M or S-(L+M) mechanism [1, 2].
Computer Vision and Image Understanding 107(1), 3–13 (2007) 22 A. Benoit et al. : Display Adaptive Tone Mapping. ACM Transactions on Graphics (Proc. : Perceptual Evaluation of Tone Mapping Operators with Real-World Sceness. J. ) Human Vision and Electronic Imaging X, IS&T/SPIE’s 17th Annual Symposium on Electronic Imaging, pp. 192–203. : A Perceptual Framework for Contrast Processing of High Dynamic Range Images (revised and extended version). : Enhancement of Bright Video Features for HDR Displays.
Our algorithm has linear complexity with respect to the number of image pixels and to the color quantization N . Therefore, it is particularly eﬃcient, also in comparison to other methods, like for instance .
Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers by Hidehiko Komatsu, Naokazu Goda (auth.), Alain Trémeau, Raimondo Schettini, Shoji Tominaga (eds.)