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Multiscale image fusion using an adaptive similarity-based sensor weighting scheme and human visual system-inspired contrast measure.

, , and . J. Electronic Imaging, 21 (2): 021112 (2012)

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Human visual system-based image fusion for surveillance applications., , and . SMC, page 2687-2691. IEEE, (2011)A generalized set of kernels for edge and line detection., , and . Image Processing: Algorithms and Systems, volume 7245 of SPIE Proceedings, page 72450. SPIE, (2009)Improving edge-based feature extraction using feature fusion., , and . SMC, page 679-684. IEEE, (2008)Multi-scale image fusion using the Parameterized Logarithmic Image Processing model., , and . SMC, page 3930-3937. IEEE, (2010)Multi-scale image enhancement using a second derivative-like measure of contrast., , and . Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications, volume 8295 of SPIE Proceedings, page 82950Q. SPIE, (2012)Multiresolution Decomposition Schemes Using the Parameterized Logarithmic Image Processing Model with Application to Image Fusion., , and . EURASIP J. Adv. Signal Process., (2011)A Non-Reference Measure for Objective Edge Map Evaluation., , and . SMC, page 4563-4568. IEEE, (2009)Multiscale image fusion using an adaptive similarity-based sensor weighting scheme and human visual system-inspired contrast measure., , and . J. Electronic Imaging, 21 (2): 021112 (2012)Boolean Derivatives With Application to Edge Detection for Imaging Systems., , , and . IEEE Trans. Syst. Man Cybern. Part B, 40 (2): 371-382 (2010)Non-Linear Direct Multi-Scale Image Enhancement Based on the Luminance and Contrast Masking Characteristics of the Human Visual System., , and . IEEE Trans. Image Processing, 22 (9): 3549-3561 (2013)