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Fast Image and Video Upscaling from Self-Examples (Yissum)

总结: Image upscaling, or enlargement of image size, results in blurring of edges and loss of image quality
Although digital cameras produce high-resolution images, there still exist huge numbers of low resolution images as well as low-grade sensors found in mobile devices and surveillance systems that produce low-resolution images and video frames that require resolution enhancement.New image processing algorithm based on example-based super-resolution that results in a high-quality and efficient single-image upscaling technique
Image upsampling exploits local scale-similarity in natural images. When downscaled, the patches (yellow squares) are very similar to their cropped version (red squares). Algorithm produces high-quality, sharp images
Reduces the process search time without compromising quality
Simple, efficient, and trivially parallel algorithm enables increase in the resolution of video sequences with no algorithmic modifications and at reasonable running times

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