Calligraphy background reconstruction method based on image super resolution

A super-resolution and calligraphy technology, applied in the field of image processing, can solve the problem that the denoising technology cannot effectively remove a large amount of noise, and achieve the effect of improving the viewing value, solving the diffusion of ink and accurate edge recognition.

Active Publication Date: 2017-01-18
NORTHWEST UNIV
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Problems solved by technology

[0003] In view of the problems existing in the above-mentioned prior art, the purpose of the present invention is to provide a calligraphy background reconstruction method based on image super-resolution, so as to solve the proble

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  • Calligraphy background reconstruction method based on image super resolution
  • Calligraphy background reconstruction method based on image super resolution
  • Calligraphy background reconstruction method based on image super resolution

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Embodiment Construction

[0058] 1. Detailed steps

[0059] The flow chart of the present invention is as figure 1 As shown, the specific process is as follows:

[0060] A calligraphy background reconstruction method based on image super-resolution, comprising the following steps:

[0061] Step 1, use software to read the color image of the calligraphy work to be processed in computer; Described software can adopt Matlab software;

[0062] Step 2, observe the color image of the calligraphy works, and select the background area containing less noise from the color image; the noise here refers to the influence of external factors on the background of the original image, such as blurred points, stains, etc.; and this step requires overall observation For calligraphy works, in the background other than text information and seal information, find out the background area that contains less noise than other backgrounds; for example, in Figure 5 (a) In the example image given, in addition to the text informa...

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Abstract

The invention discloses a calligraphy background reconstruction method based on image super resolution. The method is characterized by, to begin with, selecting a background region having less noise in a color image of a calligraphy background and carrying out background reconstruction on the selected background region; and meanwhile, segmenting background, text and seal information in calligraphy work, and carrying out pixel-level fusing on the background, text and seal information to obtain a final reconstructed image. The method well solves the problem of loss of artistic information of a conventional denoising method, and improves completeness of the artistic information of the calligraphy work; and besides, the method effectively solves the problem that a conventional method cannot deal with the noise of ink spreading and natural weathering and the like, so that a high-quality calligraphy background image can be obtained, and ornamental value of the artistic information of the calligraphy work is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a calligraphy background reconstruction method based on image super-resolution, which is used in the research of Chinese calligraphy art and the protection of historical and cultural heritage to restore the background image of calligraphy works containing a large amount of noise. Background technique [0002] In the field of Chinese calligraphy art research and historical and cultural heritage protection, in order to make ancient Chinese calligraphy works have better ornamental value, and to remove noises such as ink diffusion and paper pollution caused by human factors or natural weathering in the image background, generally adopt Image denoising method. At present, the denoising of calligraphy images is mainly aimed at general images, such as mean filtering and guided filtering. However, these denoising methods do not completely remove the noise in the calligraphy backg...

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Application Information

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IPC IPC(8): G06T7/13
CPCG06T2207/20032
Inventor 龚晓庆王磊许鹏飞汤战勇章勇勤陈晓江房鼎益
Owner NORTHWEST UNIV
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