Super-resolution Reconstruction of an Image
نویسنده
چکیده
This paper presents a generalization of restoration theory for the problem of SuperResolution Reconstruction (SRR) of an image. In the SRR problem, a set of low quality images is given, and a single improved quality image which fuses their information is required. We present a model for this problem, and show how the classic restoration theory tools ML, MAP and POCS can be applied as a solution. A hybrid algorithm which joins the POCS and the ML benefits is suggested.
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