Consensus image method for unknown noise removal
نویسندگان
چکیده
منابع مشابه
PATIL, RAJWADE: POISSON NOISE REMOVAL FOR IMAGE DEMOSAICING 1 Poisson Noise Removal for Image Demosaicing
With increasing resolution of the sensors in camera detector arrays, acquired images are ever more susceptible to perturbations that appear as grainy artifacts called ‘noise’. In real acquisitions, the dominant noise model has been shown to follow the Poisson distribution, which is signal dependent. Most color image cameras today acquire only one out of the R, G, B values per pixel by means of ...
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Most color image cameras today acquire only one out of the R, G, B values per pixel by means of a color filter array (CFA) in the hardware producing the so called ‘CFA image’. In-built software routines are required to undertake the task of obtaining the rest of the color information at each pixel through a process termed demosaicing. The most common CFA pattern is the well-known Bayer pattern ...
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The optimal fractional order should be determined for image denoising by 2-D fractional wavelet transform (FWT). However, the actual application environment is complex, and the input image has already been polluted by unknown noise frequently in the process of capture and transmission. It is impossible to get the optimal fractional order on the basis of the objective evaluation standard in exis...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2014
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2013.10.023