Image restoring method and device

Abstract

The invention discloses an image restoring method and device. The method comprises the following steps of: step A, obtaining a first layer region to be restored of an image damaged region from inside to outside, and reading structural information and a color of the known image region which is close to the first layer region to be restored; step B, carrying out gradient analysis and color estimation on the first layer region to be restored according to the structural information and the color of the known image region to obtain gradient information and a color of the first layer region to be restored; step C, taking the gradient information and the color of the first layer region to be restored as initial values to be extended to the first layer region to be restored; step D, carrying out texture synthesis restoration on the first layer region to be restored according to the initial values to obtain a first restoring result; and step E, taking the first restoring result as the known image region to circularly execute the steps A to D until the image damaged region is restored. With the adoption of the image restoring method and device, disclosed by the invention, the structural region can be accurately positioned, the block matching accuracy is improved, and the introduction and the reproduction of error information are reduced.

Description

technical field

[0001] The present invention relates to the field of image processing, in particular to an image restoration method and device. Background technique

[0002] The image restoration method based on texture synthesis is the mainstream of the current image restoration method because it can effectively repair large damaged areas. The above method uses the unlost information of the image as a training set for deriving the missing information of the image, and finds the most matching samples in the training set to fill in the blank area of ​​the image in a certain order, so as to realize the effective restoration of the image. Among them, the filling order of the image blocks is determined according to how much the known pixels near the area to be filled contain structural components, and the area containing the structure is filled first, and then the flat area is filled. This inpainting sequence of first filling the structure and then filling the flat area strengt...

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