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3 February 2014 Design for implementation of color image processing algorithms
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Proceedings Volume 9015, Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications; 90150D (2014)
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States
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, Dorin Patru, Eli Saber, Gene Roylance, and 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);

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