Paper
2 January 1998 Multiresolution color correction
Raja Balasubramanian, Ricardo L. de Queiroz, Zhigang Fan
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raja Balasubramanian, Ricardo L. de Queiroz, and Zhigang Fan "Multiresolution color correction", Proc. SPIE 3300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts III, (2 January 1998); https://doi.org/10.1117/12.298277
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image processing

Printing

CMYK color model

Image resolution

Wavelet transforms

Wavelets

Image quality

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