Paper
21 December 1999 Converting color values using stochastic interpolation
Shaun T. Love, Steve F. Weed, Stuart W. Daniel, Michael E. Lhamon
Author Affiliations +
Abstract
This paper presents a method of efficiently converting from a set of noisy color values to a set of device colorants. Using a deterministic process, 24-bit scanned color values are reduced to dithered 12-bit RGB table indices. After the reduction, a small but complete lookup table with 4096 entries converts the RGB values directly to the output color space. This stochastic interpolation process, while minimizing banding and abrupt color transitions, eliminates the need for trilinear interpolation of the data and significantly reduces the size of the lookup table.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaun T. Love, Steve F. Weed, Stuart W. Daniel, and Michael E. Lhamon "Converting color values using stochastic interpolation", Proc. SPIE 3963, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts V, (21 December 1999); https://doi.org/10.1117/12.373399
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Stochastic processes

RGB color model

Printing

Image processing

Halftones

Scanners

Fourier transforms

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