Method for restoring motion blurred image based on total variational model and neutral network

Abstract

The invention discloses a method for restoring a motion blurred image based on a total variational model and a neutral network, which mainly solves the problem existing in the prior method that the image cannot be accurately restored. The implementation process comprises the following steps of: (1) constructing a Toeplitz matrix; (2) working out gradients in horizontal and vertical directions; (3) initializing the neutral network; (4) working out a neuron output; (5) working out the output of the neutral network; (6) working out a first variation delta E1 of a network energy function; (7) if the neurons are completely updated, jumping to the step (4); otherwise, jumping to a step (8); (8) if the set iterations are reached, outputting a restoration result, otherwise jumping to a step (9); (9) working out a restoration error; (10) if the restoration error is smaller than the set error, outputting the restoration result, otherwise jumping to a step (11); (11) working out the current input bias matrix; (12) working out a second variation delta E2 of the network energy function; and (13) if the summation of the delta E1 and the delta E2 is less than 0, jumping to a step (2); if the summation of the delta E1 and the delta E2 is more than or equal to 0, jumping to the step (3); and if the delta E1 is equal to 0, outputting the restoration result. The method can obtain relatively accurate restored images, and be applied to the restoration of motion blurred images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a motion blurred image restoration method, which can be used to restore the motion blurred image that occurs in the digital image acquisition process. Background technique [0002] When shooting a scene with a camera, if there is relative motion between the camera and the scene, the photo will be blurred, which is called motion blur. Motion blur is a common problem in the imaging process. This phenomenon may exist in photos taken on airplanes or spacecraft, photos of high-speed moving objects taken by cameras, and missiles in flight on the battlefield. Restoration of motion blurred images is one of the main topics in image restoration. Image restoration refers to removing or alleviating the image quality degradation that occurs in the process of acquiring digital images, and finally obtaining a restored image that tends to the original image. It is an import...

AI Technical Summary

Problems solved by technology

Recently, Chinese scholar Y.D.Wu proposed to combine the Hopfield neural network and the overall variational image restoration model through the network energy function, that is, the Hopfield neural network with discrete state changes is used to realize the image restoration based on the overall variational model. See the literature "Variational PDE based image restoration using neural network", IET Image Process., 2007, 1, (1), pp.85-93, although this method seeks another implementation method for image restoration of the overall variational model, However, because the network neurons use discrete state changes, the restored image cannot obtain more details and edge information, resulting in poor quality of the restored image.

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