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Full-Text Articles in Engineering
Extended Permutation Filters And Their Application To Edge Enhancement, Russell Hardie, Kenneth Barner
Extended Permutation Filters And Their Application To Edge Enhancement, Russell Hardie, Kenneth Barner
Russell C. Hardie
Extended permutation (EP) filters are defined and analyzed. In particular, we focus on extended permutation rank selection (EPRS) filters. These filters are constrained to output an order statistic from an extended observation vector. This extended vector includes N observation samples and K statistics that are functions of the observation samples. The rank permutations from selected samples in this extended observation vector are used as the basis for selecting an order statistic output. We show that by including the sample mean in the extended observation vector, the filters exhibit excellent edge enhancement properties. We also show that several previously defined classes …
Combinatorial Search Of Thermoelastic Shape-Memory Alloys With Extremely Small Hysteresis Width, Jun Cui, Yong Chu, Olugbenga Famodu, Yasubumi Furuya, Jason Hattrick-Simpers, Richard James, Alfred Ludwig, Sigurd Thienhaus, Manfred Wuttig, Zhiyong Zhang, Ichiro Takeuchi
Combinatorial Search Of Thermoelastic Shape-Memory Alloys With Extremely Small Hysteresis Width, Jun Cui, Yong Chu, Olugbenga Famodu, Yasubumi Furuya, Jason Hattrick-Simpers, Richard James, Alfred Ludwig, Sigurd Thienhaus, Manfred Wuttig, Zhiyong Zhang, Ichiro Takeuchi
Jason R. Hattrick-Simpers
No abstract provided.
A Map Estimator For Simultaneous Superresolution And Detector Nonunifomity Correct, Russell Hardie, Douglas Droege
A Map Estimator For Simultaneous Superresolution And Detector Nonunifomity Correct, Russell Hardie, Douglas Droege
Russell C. Hardie
During digital video acquisition, imagery may be degraded by a number of phenomena including undersampling, blur, and noise. Many systems, particularly those containing infrared focal plane array (FPA) sensors, are also subject to detector nonuniformity. Nonuniformity, or fixed pattern noise, results from nonuniform responsivity of the photodetectors that make up the FPA. Here we propose a maximuma posteriori (MAP) estimation framework for simultaneously addressing undersampling, linear blur, additive noise, and bias nonuniformity. In particular, we jointly estimate a superresolution (SR) image and detector bias nonuniformity parameters from a sequence of observed frames. This algorithm can be applied to video in …