An image restoration method and device based on an NSCT transform domain

Abstract

The invention provides an image restoration method and device based on an NSCT transform domain, and the restoration effect of an image is enhanced. The method comprises the steps of obtaining blurredimages and clear images of the same article under different scenes; determining a blurred area B in the blurred image and a clear area A corresponding to the blurred area in the clear image; respectively decomposing the regions A and B by using non-subsampled contourlet transform to obtain low-frequency and high-frequency sub-band coefficients of the regions A and B; performing sparse representation on the low-frequency sub-band coefficients, and fusing the obtained low-frequency sparse representation coefficients to obtain fused low-frequency coefficients; Processing the high-frequency sub-band coefficient by using a pulse coupling neural network with improved parameter link strength, obtaining a fused high-frequency coefficient according to a preset high-frequency fusion strategy; performing non-downsampling contourlet inverse transformation on the fused low-frequency coefficient and high-frequency coefficient, and obtaining a clear image after restoration of the fuzzy region through reconstruction. The invention relates to the field of image processing.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image restoration method and device based on NSCT transform domain. Background technique [0002] In recent years, images have become the most direct way for us to communicate with the outside world, and it is also the easiest way for us to obtain information. Therefore, using image fusion to restore existing clear and blurred images also brings great benefits to the use of images. Comes great value. As an important field of multidisciplinary research and an active research field with a wide range of applications, image fusion has received widespread attention for its outstanding enhancement of the transparency of information in the source image to be fused, and the improvement of the accuracy, reliability, and utilization of the interpreted image. At present, the traditional image fusion methods are single and can only be applied to specific fields, and the fusion eff...

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide an image restoration method and device based on the NSCT transform domain to solve the problem in the prior art that the main energy of some images will be lost due to the poor sparsity of the low-frequency sub-band coefficients after using the NSCT transform. , causing problems with poor restoration

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