Computational Color Imaging: Second International Workshop, by Hidehiko Komatsu, Naokazu Goda (auth.), Alain Trémeau,

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By Hidehiko Komatsu, Naokazu Goda (auth.), Alain Trémeau, Raimondo Schettini, Shoji Tominaga (eds.)

This ebook constitutes the completely refereed lawsuits of the second one Computational colour Imaging Workshop, CCIW 2009, which was once held in Saint-Etienne, France, in March 2009.

The 23 revised complete papers, provided including one invited paper, have been rigorously reviewed and chosen from forty submissions. The papers, which comprise 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 variety imaging.

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Extra resources for Computational Color Imaging: Second International Workshop, CCIW 2009, Saint-Etienne, France, March 26-27, 2009. Revised Selected Papers

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This results in smooth transitions when luminance changes suddenly. Also, the photoreceptors stage allows spatio-temporal noise removal at the beginning of the tone mapping process. 4 Conclusion This paper proposes a Tone Mapping Operator (TMO) based on a human retina model. It imitates some parts of the foveal retina functionalities including its luminance compression properties and adds the contribution of temporal information processing. This “biologic” algorithm is able to process a wide variety of images with natural rendering and has a good potential for video sequences processing.

357, 241–265 (1984) 3. : Some Transformations of Color Information from Lateral Geniculate Nucleus to Striate Cortex. Proc. Natl. Acad. Sci. A. 97, 4997–5002 (2000) 4. : Neural Basis for Unique Hues. Curr. Biol. 18, R698– R699 (2008) 5. : Neural Selectivity for Hue and Saturation of Colour in the Primary Visual Cortex of the Monkey. Eur. J. Neurosci. 12, 1753–1763 (2000) 6. : Reconstruction of Equidistant Color Space from Responses of Visual Neurons of Macaque. J. Opt. Soc. Am. A 3, 1726–1734 (1986) 7.

For a total of two hours of videos. From each clip, a set of images was extracted, resulting in a dataset of more than 11000 images. A gray sphere appears in the bottom right corner of the images and was used to estimate the true color of the scene illuminant. Since the dataset sources were video clips, the images extracted show high correlation. To remove this correlation, only a subset of images should be used from each set. Taking into account that the image sets came from video clips, we applied a two stage video-based analysis to select the image to be included in the final illuminant dataset.

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