Information theoretic methods for image processing algorithm optimization
Published in Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE • Feb 8, 2015
NobleIDNI8P25W73R42S82
Authors:,
Sergey F. Prokushkin
Erez Galil
Abstract
Modern image processing pipelines (e.g., those used in digital cameras) are full of advanced, highly adaptive filters that often have a large number of tunable parameters (sometimes > 100). This makes the calibration procedure for these filters very complex, and the optimal results barely achievable...
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