Image super-resolution method
A super-resolution and image technology, applied in the field of image super-resolution, can solve problems such as slow processing speed
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[0039] The embodiments of the present invention will be described in detail below. It should be emphasized that the following description is only exemplary, and is not intended to limit the scope of the present invention and its application.
[0040] Refer to figure 1 In the embodiment of the present invention, for a single low-resolution image, an image super-resolution method based on non-correlated dictionary learning and nearest neighbor regression is proposed. According to this method, a training sample set is extracted from the existing high-quality images, and a low-resolution dictionary is trained on the training samples. From the base of the low-resolution dictionary and the high- and low-resolution samples, the high- and low-resolution neighbor sets corresponding to each dictionary base are obtained, and then the mapping matrix from low-resolution features to high-resolution features is calculated, which is Training stage; for the input low-resolution image, extract ...
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