An image super-resolution method based on mixed-resolution sparse dictionary learning
A low-resolution image and sparse dictionary technology, applied in the field of digital images, can solve problems such as consuming large computing resources, achieve the effect of enriching image texture information, sharpening image edges, and improving expression ability
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[0029] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the following in conjunction with the attached figure 1 The present invention will be further described in detail with reference to the implementation examples and implementation examples. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.
[0030] please see figure 1 , a kind of image super-resolution method based on mixed resolution sparse dictionary learning provided by the present invention comprises the following steps:
[0031] Step 1: Take the images in the image library as training samples, train two types of low-resolution dictionaries with resolutions of 3×3 and 5×5, and obtain two pairs of high- and low-resolution dictionaries; among them, 3×3 and 5×5 The resolutions of the high-resolution dictionaries corresponding ...
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