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Proceedings Paper

Multiresolution color correction
Author(s): Raja Balasubramanian; Ricardo L. de Queiroz; Zhigang Fan
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Paper Abstract

In this paper, a color correction system is embedded into a multiresolution representation with the goal of reducing the complexity of 3D look-up table transformations. A framework is assumed wherein the image undergoes a multiresolution decomposition, e.g. discrete wavelet transform, for the purpose of image compression or other processing. After the image is reconstructed from its multiresolution representation, color correction is usually required for rendering to a specific device. The color correction process is divided into two phases: a complex multidimensional transform (Phase 1), and a series of essentially 1-D transforms (Phase 2). Phase 1 correction is then moved within the multiresolution reconstruction process in such a way that a small subset of the image samples undergoes the multidimensional correction. Phase 2 correction is then applied to all image samples after the image is reconstructed to its full resolution. The recently proposed spatial CIELAB model is used to evaluate the algorithm. The computational cost incurred by the color correction is considerably reduced, with little loss in image quality.

Paper Details

Date Published: 2 January 1998
PDF: 8 pages
Proc. SPIE 3300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts III, (2 January 1998); doi: 10.1117/12.298277
Show Author Affiliations
Raja Balasubramanian, Xerox Corp. (United States)
Ricardo L. de Queiroz, Xerox Corp. (United States)
Zhigang Fan, Xerox Corp. (United States)

Published in SPIE Proceedings Vol. 3300:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts III
Giordano B. Beretta; Reiner Eschbach, Editor(s)

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