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Proceedings Paper

Design for implementation of color image processing algorithms
Author(s): Jamison Whitesell; Dorin Patru; Eli Saber; Gene Roylance; Brad Larson
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Paper Abstract

Color image processing algorithms are first developed using a high-level mathematical modeling language. Current integrated development environments offer libraries of intrinsic functions, which on one hand enable faster development, but on the other hand hide the use of fundamental operations. The latter have to be detailed for an efficient hardware and/or software physical implementation. Based on the experience accumulated in the process of implementing a segmentation algorithm, this paper outlines a design for implementation methodology comprised of a development flow and associated guidelines. The application of this methodology to four segmentation algorithm steps produced measured results with 2-D correlation coefficients (CORR2) better than 0.99, peak-signal-to-noise-ratio (PSNR) better than 70 dB, and structural-similarity-index (SSIM) better than 0.98, for a majority of test cases.

Paper Details

Date Published: 3 February 2014
PDF: 10 pages
Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150D (3 February 2014); doi: 10.1117/12.2040469
Show Author Affiliations
Jamison Whitesell, Rochester Institute of Technology (United States)
Dorin Patru, Rochester Institute of Technology (United States)
Eli Saber, Rochester Institute of Technology (United States)
Gene Roylance, Hewlett-Packard Co. (United States)
Brad Larson, Hewlett-Packard Co. (United States)


Published in SPIE Proceedings Vol. 9015:
Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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