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Sample double sparse image inpainting method based on features of Facet directional derivative

A technology of sparse images and restoration methods, applied in image enhancement, image data processing, instruments, etc., can solve problems such as the continuous natural transition of restoration areas that cannot maintain the coherence of image structure, and defects in restoration ability.

Active Publication Date: 2017-12-22
BEIHANG UNIV
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Problems solved by technology

[0005] Existing example-based inpainting methods often fail to maintain the structural coherence of the inpainted image and the continuous and natural transition of the inpainted area.
However, the repairing method based on the sparse feature still has great defects in the repairing ability of large-area defects.

Method used

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  • Sample double sparse image inpainting method based on features of Facet directional derivative
  • Sample double sparse image inpainting method based on features of Facet directional derivative
  • Sample double sparse image inpainting method based on features of Facet directional derivative

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Embodiment Construction

[0064] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings.

[0065] Step 1: Obtain the directional feature information of different directions of the image under the Facet model (see literature: Haralik. The digital step edge at the zero crossing of the second derivative. American Institute of Electrical and Electronics Engineers Pattern Analysis and Machine Intelligence Transactions 58-68,1984.(R.M.Haralick.Digital step edges from zero crossing of second directional derivatives[J].IEEE Trans on Pattern Analysis and Machine Intelligence,1984,6(1):58-68.)). Select 2D model to apply in the inventive method, its regional gray scale fitting polynomial form is as follows:

[0066] f(r,c)=k 1 +k 2 r+k 3 c+k 4 r 2 +k 5 rc+k 6 c 2 +k 7 r 3 +k 8 r2 c+k 9 rc 2 +k 10 c 3 .

[0067] Among them, (r,c) is the coordinat...

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Abstract

The invention relates to a sample double sparse image inpainting method based on the features of Facet directional derivative, which includes the following steps: S1, acquiring directional feature information of an image in different directions under a Facet model; S2, using an improved inpainting priority calculation function to sort image blocks to be inpainted; and S3, inpainting the damaged region with the highest inpainting priority determined in S2 through sparse representation of candidate image blocks. Directional features are fully utilized in the method. A new image block distance calculation function is constructed, and the space consistency and continuity constraints of the directional features are added in the sparse solving link. Meanwhile, the inpainting priority calculation function is adjusted and improved, and the confidence values of the image blocks are controlled within a reasonable range, in order to ensure the reliability of the priority calculation result. Both the color information and directional feature information of the image are considered, and all kinds of image damage situations can be dealt with. The method has good universality and wide market prospect and application value.

Description

【Technical field】 [0001] The invention relates to a sample double sparse image restoration method based on the Facet direction derivative feature. The sparse characteristic and image restoration technology have wide application in the field of image application, and belong to the field of digital image processing. 【Background technique】 [0002] Image restoration refers to the use of grayscale, color, texture and other features of the undamaged area of ​​the image to repair and reconstruct the damaged area, or to remove redundant objects in the image. Manual image restoration methods usually rely more on the work experience of the restorer, which is less efficient, and the restoration results are highly subjective. The method of digital image restoration can better overcome the above shortcomings. Digital image restoration refers to the use of computer programs as the main body and digital images as the restoration target. In the case of marking the area to be repaired, the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/77
Inventor 白相志晋达睿
Owner BEIHANG UNIV
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