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Image super-resolution method for combining soft decision self-adaptation interpolation and bicubic interpolation

A bicubic interpolation and super-resolution technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve problems such as image edge blur and texture-dense area distortion, and achieve the effect of clear edges

Inactive Publication Date: 2012-11-28
HUNAN UNIV
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AI Technical Summary

Problems solved by technology

The invention combines the strong robustness of bicubic interpolation with the advantages of high edge definition of soft decision-making adaptive interpolation through image fusion technology, and solves the problem that bicubic interpolation will cause blurred image edges and the edge-based interpolation method is easy to use Distortion issues in densely textured areas

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  • Image super-resolution method for combining soft decision self-adaptation interpolation and bicubic interpolation
  • Image super-resolution method for combining soft decision self-adaptation interpolation and bicubic interpolation
  • Image super-resolution method for combining soft decision self-adaptation interpolation and bicubic interpolation

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Embodiment Construction

[0014] figure 1 It is a schematic diagram of an image super-resolution method that integrates soft-decision adaptive interpolation and bicubic interpolation proposed by the present invention. The input is a low-resolution grayscale or color image, and the output is a high-resolution grayscale or color image. like figure 1 As shown, the specific implementation details of each part of the present invention are as follows:

[0015] 1. Using the soft decision adaptive method and the bicubic method to interpolate low-resolution images, the specific steps are as follows:

[0016] 1) Use bicubic interpolation method to low-resolution image I L Perform super-resolution, the super-resolution multiple is n times, and obtain high-resolution images .

[0017] I BIC H = Bicubic ( I L , n ) - - ...

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Abstract

The invention discloses an image super-resolution method for combining soft decision self-adaptation interpolation and bicubic interpolation. The method comprises the following steps of: firstly, carrying out super resolution on low-resolution images by using soft decision self-adaptation interpolation and bicubic interpolation; secondly, detecting a distortion area in a high-resolution image obtained by soft decision self-adaptation interpolation by using a distortion detecting method based on pixel value difference and structure difference; and finally, combining high-resolution images obtained by different interpolation methods by using an image fusion method on the basis of pixel weight so as to obtain the final super-resolution result. By the method, the real-time bicubic interpolation technology and the rapid soft decision self-adaptation interpolation technology are combined and applied to image super resolution, the edge clearness of the images subjected to super resolution can be ensured, distortion is avoided in an image texture dense area, the low-resolution images can be amplified, and the visual effects can be improved. Therefore, the method has great theoretical significance and practical application value.

Description

technical field [0001] The invention relates to an image super-resolution method, more specifically an image super-resolution method that combines soft decision adaptive interpolation and bicubic interpolation. Background technique [0002] Image interpolation, such as the classic bilinear and bicubic interpolation methods, has the characteristics of fast speed and strong robustness, so it is widely used in image processing software and related image processing equipment. However, bilinear and bicubic interpolation methods often lead to blurring of image edges during interpolation, and image edges are key factors that affect visual effects and other subsequent processing such as target recognition and tracking. Therefore, the edge-based interpolation method has become a research hotspot in the field of image super-resolution in recent years. The edge-based interpolation method uses the edge information of the image to assist the interpolation, and the edge is as clear as po...

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Application Information

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IPC IPC(8): G06T5/50G06T3/40
Inventor 李树涛康旭东
Owner HUNAN UNIV
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