Perceptually-Adaptive Image Super-Resolution using Statistical Methods
نویسندگان
چکیده
Multi-frame image super-resolution makes use of a set of low-resolution images to reconstruct one or more high-resolution images. This paper presents a novel super-resolution algorithm that uses perceptually important content characteristics such as edges, texture, and brightness to improve visual quality. The superresolution algorithm introduces perceptually-adaptive constraint relaxation to optimize the image for the human vision system. Experimental results show that the super-resolution algorithm improves visual quality both quantitatively and qualitatively when compared with standard techniques. Key-Words: Perceptually-adaptive, image super-resolution, statistical estimation
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