Sequence image self-adaptive regular super resolution reconstruction method
A technology for super-resolution reconstruction and sequence images, which is applied in image enhancement, image data processing, instruments, etc. to suppress smoothing effects and improve effects.
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[0033] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0034] In order to facilitate the public's understanding of the technical solution of the present invention, before explaining the method of the present invention, a brief introduction to the existing regularized reconstruction principle is given.
[0035] A high-resolution image (HR) is degraded to obtain multiple low-resolution (LR) images. This is the image degradation process, which is the image observation commonly used in super-resolution reconstruction from a sequence of low-resolution images. Model. The mathematical expression of the image observation model is as follows,
[0036] the y k =H k z+n k , 1≤k≤p, (1)
[0037] In the formula, y k Denotes the kth low-resolution observation image, z denotes the high-resolution image for degradation, H k is the degradation matrix, n k is the added noise vector, and p is the number of images conta...
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