3 February 2014 Design for implementation of color image processing algorithms
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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.
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Jamison Whitesell, Jamison Whitesell, Dorin Patru, Dorin Patru, Eli Saber, Eli Saber, Gene Roylance, Gene Roylance, Brad Larson, Brad Larson, } "Design for implementation of color image processing algorithms", Proc. SPIE 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications, 90150D (3 February 2014); doi: 10.1117/12.2040469; https://doi.org/10.1117/12.2040469
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