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Method for restoring ancient Chinese calligraphy and painting images on basis of conspicuousness detection

A calligraphy, painting and image technology, applied in image enhancement, image data processing, instruments, etc., can solve the problems of image contrast reduction, background aging and discoloration, etc.

Active Publication Date: 2013-04-03
CENT SOUTH UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is to provide a restoration method of ancient Chinese calligraphy and painting images based on saliency detection, which overcomes the problem of knowing the foreground and background information in advance when calculating the mask image, thereby solving the problems caused by the age of calligraphy and painting works. The problem of image contrast reduction and background aging and discoloration caused by

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  • Method for restoring ancient Chinese calligraphy and painting images on basis of conspicuousness detection
  • Method for restoring ancient Chinese calligraphy and painting images on basis of conspicuousness detection
  • Method for restoring ancient Chinese calligraphy and painting images on basis of conspicuousness detection

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Embodiment 1

[0084] This embodiment is aimed at ancient Chinese calligraphy images, such as figure 1 As shown, the restoration process is carried out in the following three steps:

[0085] Step A: Apply guided filter enhancement processing to the original image to obtain an enhanced image;

[0086] Image enhancement using guided filtering on the original image, a k and b kThe calculation formula is as follows:

[0087] a k = 1 | ω | Σ ( x , y ) ∈ ω k I ( x , y ...

Embodiment 2

[0122] Images of ancient Chinese paintings Figure 4 (a) (the size is 600*481) is restored. First put Figure 4 (a) Use templates with a size of 19*19 to conduct guided filtering on the three color channels of R, G, and B respectively, and obtain Figure 4 Enhanced image of (a) Figure 4 (b).

[0123] Then, transform this augmented image to L * a * b * Color space, extract its three components, and calculate the mean value corresponding to these components respectively. Then obtain the enhanced image according to formula (4) Figure 4 (b) Salient region map, such as Figure 4 (c) shown. Additionally, the enhanced image Figure 4 (b) On the three color channels of R, G, and B, respectively use a template with a size of 19*19 to perform minimum value filtering, and use the minimum value of the corresponding pixel points of the three images obtained after filtering as the pixel of the corresponding point of the dark primary color image value, get Figure 4 (b) Dark ch...

Embodiment 3

[0126] Images of ancient Chinese paintings Figure 5 (a) (size is 287*286) for restoration processing. First put Figure 5 (a) Use templates with a size of 11*11 to conduct guided filtering on the three color channels of R, G, and B respectively, and obtain Figure 5 Enhanced image of (a) Figure 5 (b).

[0127] Then, transform this augmented image to L * a * b * Color space, extract its three components, and calculate the mean value corresponding to these components respectively. Then obtain the enhanced image according to formula (4) Figure 5 (b) Salient region map, such as Figure 5 (c) shown. Additionally, the enhanced image Figure 5 (b) On the three color channels of R, G, and B, respectively use a template with a size of 11*11 to perform minimum value filtering, and use the minimum value of the corresponding pixel points of the three images obtained after filtering as the pixel of the corresponding point of the dark primary color image value, get Figure 5 ...

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Abstract

The invention discloses a method for restoring ancient Chinese calligraphy and painting images on the basis of conspicuousness detection. The method includes the steps of A, subjecting an original image to guide filter enhancement processing so as to obtain an enhanced image; B, acquiring a conspicuousness area image capable of reflecting attention distribution of human eyes and a mask image from the enhanced image obtained in the step A; C, confirming a foreground and a background of the enhanced image obtained in the step A according to the conspicuousness area image and the mask image, and replacing the color of the background to achieve the purpose of restoring. By means of the theory that a mask image of an image sectional drawing formula corresponds to a diffusion image of an atmospheric scattering model expression formula one by one in forms, the mask image identical to the mask image acquired via an existing conventional sectional drawing method in effect can be acquired automatically via acquiring the diffusion image of the scattering model, the problem that most of existing mask image acquiring methods require labors to appoint the foreground and the background of the image is solved, and automaticity and instantaneity for image restoration are realized.

Description

technical field [0001] The invention belongs to the field of image information processing, and in particular relates to an image restoration method of ancient Chinese calligraphy and painting based on saliency detection. Background technique [0002] Calligraphy and painting, as an important part of China's excellent traditional culture, are famous all over the world for their unique aesthetic concepts, forms of expression and techniques. With the rapid development of computer technology, the art of traditional Chinese calligraphy and painting has entered the field of digitalization, which has also brought some new problems. For example, an important expression method of ancient Chinese calligraphy and painting is "blank space", that is, to leave a corresponding blank space in the work, which makes people imagine and enjoy endless fun. However, since these works of art mostly use handmade rice paper, the blank space in the work will gradually turn yellow and discolored when...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 郭璠蔡自兴唐琎
Owner CENT SOUTH UNIV
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