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Cartoon texture decomposition-based image super-resolution reconstruction method

A super-resolution reconstruction and texture image technology, applied in the field of image processing, can solve the problems of image loss of details, blurred edges, etc.

Active Publication Date: 2017-11-10
XIAN UNIV OF POSTS & TELECOMM
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Therefore, this method tends to cause the reconstructed image to lose details and blur edges

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  • Cartoon texture decomposition-based image super-resolution reconstruction method
  • Cartoon texture decomposition-based image super-resolution reconstruction method
  • Cartoon texture decomposition-based image super-resolution reconstruction method

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[0091] 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 part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0092] The present invention will be described in further detail below.

[0093] Such as figure 1 As shown, the present invention discloses a method for image super-resolution reconstruction based on cartoon texture decomposition, and the specific steps are as follows:

[0094] S1: The offline training process includes two training processes. The first training process is to train high and low resolution texture dictionary pairs through the K-s...

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Abstract

The invention discloses a cartoon texture decomposition-based image super-resolution reconstruction method. The method comprises an offline training process and an online test process. The offline training process comprises training of a high and low-resolution texture dictionary pair, and offline texture anchor point mapping. In the online test process, a low-resolution input image is subjected to cartoon and texture decomposition; a high-resolution cartoon image corresponding to a low-resolution cartoon image is reconstructed based on an improved total variation regularization method; a high-resolution texture image corresponding to a low-resolution texture image is reconstructed through an improved external training sample texture anchor point mapping matrix-based super-resolution method; and the reconstructed cartoon image and texture image are subjected to addition so as to output a required high-resolution image. The method has the advantages of two algorithms, and not only has relatively good denoising capability and relatively good edge retention capability but also has high adaptability and robustness.

Description

【Technical field】 [0001] The invention belongs to the field of image processing, in particular to an image super-resolution reconstruction method based on cartoon texture decomposition. 【Background technique】 [0002] With the continuous development of digital image processing technology, people's requirements for high-resolution images and videos are increasing day by day. In order to meet people's needs, super-resolution reconstruction technology based on single-frame images was born. Image super-resolution reconstruction is to restore low-resolution images to high-resolution images. This problem has always been an important topic explored by researchers in the image field. At present, image super-resolution reconstruction is widely used in various fields such as video surveillance, satellite remote sensing imaging, and medical images. [0003] The existing single-frame image super-resolution techniques can be roughly divided into three categories: interpolation-based met...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 徐健李萌范九伦赵凤赵小强常志国
Owner XIAN UNIV OF POSTS & TELECOMM
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