Image super resolution rebuilding method based on sparse representation and various residual
A technology of super-resolution reconstruction and sparse representation, which is applied in the field of image processing and can solve problems such as the increase of resolution magnification.
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[0028] The present invention will be described in detail below in conjunction with implementation examples.
[0029] For a color RGB image, first convert it to a YUV image, perform super-resolution reconstruction on the Y component, and the UV component is enlarged by interpolation, and then convert the YUV image into an RGB image; for a grayscale image, directly on the grayscale image Perform super-resolution reconstruction.
[0030]Performs a 3x upscaling on the input low-resolution image. Divide the low-resolution image into several image sub-blocks with a size of 3×3, and the corresponding high-resolution image sub-block size is 9×9. In order to maintain the compatibility between the image sub-blocks, the low-resolution image sub-blocks If a block takes 1 overlapping pixel, the corresponding high-resolution image sub-block overlaps by 3 pixels.
[0031] Step (1) Calculate the residual, and obtain the high-frequency part and low-frequency part of the residual, specificall...
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