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] Embodiments of the present invention will be described in detail below. It should be emphasized that the following description is only exemplary and not intended to limit the scope of the invention and its application.
[0040] refer to figure 1 , in an embodiment of the present invention, for a single low-resolution image, an image super-resolution method based on non-correlated dictionary learning and neighbor regression is proposed. According to this method, a training sample set is extracted from existing high-quality images, and a low-resolution dictionary is trained on the training samples. From the basis of the low-resolution dictionary and the high-resolution and low-resolution samples, the high-resolution and low-resolution neighbor sets corresponding to each dictionary basis are obtained, and then the mapping matrix from low-resolution features to high-resolution features is calculated, which is Training phase: For the input low-resolution image, extract the...
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