Method for reconstructing super-resolution image

A high-resolution image and low-resolution image technology, applied in the field of super-resolution image reconstruction, can solve the problem of not considering the characteristics of image blocks, and achieve the effect of clear features, shortening reconstruction time, and maintaining quality

Inactive Publication Date: 2012-12-19
SUN YAT SEN UNIV
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Problems solved by technology

[0018] When searching and testing low-resolution image blocks in the prior art method, because the search is for the entire set of training image blocks, the characteristics of the image blocks are not considered, so it is easy to cause the image blocks with edges and the image blocks without edges to eventually produce the same visual effects of

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  • Method for reconstructing super-resolution image
  • Method for reconstructing super-resolution image
  • Method for reconstructing super-resolution image

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[0046] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0047] The present invention proposes a method for super-resolution image reconstruction, in order to enlarge the low-resolution image based on the classification of the training set to obtain a high-resolution image, so as to shorten the image reconstruction time and improve the quality of the reconstructed image. efficiency and quality.

[0048] To achieve the above purpose, the technical solution of the present invention is to firstly introduce dozens of trainin...

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Abstract

The invention discloses a method for reconstructing a super-resolution image. The method comprises the following steps of: (1) generating a training set and characteristically representing the training set; (2) classifying a module through a training set; (3) classifying the module through a low resolution image block; (4) reconstructing the module through a high resolution image block; and (5) synthetizing high resolution images. According to the method, the training set is classified, types of input low resolution image blocks are identified, domain nesting is carryed out according to the types of the image blocks, and finally, the high resolution images are reconstructed. With the adoption of the method, time for reconstructing the images is shortened; and quality of reconstructed images can be maintained better.

Description

technical field [0001] The invention relates to the technical field of image reconstruction, in particular to a method for super-resolution image reconstruction. Background technique [0002] In most electronic imaging applications, images with high resolution (HR) are desired and required. This means that the pixel density in the image is high, so HR images can provide more detail, which is very critical in many different applications. For example, HR medical images are very helpful for doctors to make a correct diagnosis. Using HR images can improve the performance of pattern recognition in computer recognition. [0003] Image super-resolution (Super-Resolution SR) is one of the important and basic operations in the field of image processing. This technology refers to using one or more images of the same scene to improve the resolution of the image describing the scene. Through the corresponding algorithm To get a clearer and higher resolution image. This method has im...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 周凡罗笑南贺华勇韩冠亚陈湘萍
Owner SUN YAT SEN UNIV
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