Image Superresolution Reconstruction via Granular Computing Clustering
نویسندگان
چکیده
منابع مشابه
Image Superresolution Reconstruction via Granular Computing Clustering
The problem of generating a superresolution (SR) image from a single low-resolution (LR) input image is addressed via granular computing clustering in the paper. Firstly, and the training images are regarded as SR image and partitioned into some SR patches, which are resized into LS patches, the training set is composed of the SR patches and the corresponding LR patches. Secondly, the granular ...
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ژورنال
عنوان ژورنال: Computational Intelligence and Neuroscience
سال: 2014
ISSN: 1687-5265,1687-5273
DOI: 10.1155/2014/219636