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An image super-resolution reconstruction method

A technology for super-resolution reconstruction and high-resolution images, which is applied in graphics and image conversion, image data processing, and instruments. Rebuild performance, processing time saving effects

Active Publication Date: 2020-01-03
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV +1
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  • Application Information

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Problems solved by technology

The method of dictionary training involves the processing of a large number of image sets, the calculation is complex, the training phase consumes a lot of time, and the processing efficiency is low

Method used

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  • An image super-resolution reconstruction method
  • An image super-resolution reconstruction method
  • An image super-resolution reconstruction method

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Embodiment Construction

[0011] The present invention will be described in further detail below in combination with specific embodiments and with reference to the accompanying drawings.

[0012] The idea of ​​the present invention is to perform super-resolution processing of a single frame image in combination with a graph theory method. In the previous super-resolution algorithms, the structure of the image was not considered. In the present invention, the structural features of the image are utilized, and when the image block is a non-smooth image block, the high-resolution image block is calculated in combination with graph theory.

[0013] Such as figure 1 As shown, the super-resolution reconstruction method of the image in this specific embodiment comprises the following steps:

[0014] A1, calculate the high-resolution image corresponding to the low-resolution image to be processed, as the initial high-resolution image, divide the obtained initial high-resolution image into blocks, the size of...

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Abstract

The invention discloses a super-resolution reconstruction method of an image. The method comprises the following steps that A1) a high-resolution image corresponding to a low-resolution image to be process is calculated, the obtained initial high-resolution image is divided into blocks, and a structure tensor Sw(p) corresponding to a position vector p of a central pixel point of each image block is calculated; A2) a characteristic value of the structure tensor Sw(p) of each image block is calculated, and whether the image block is a smooth image block is determined; A3) when the image block is the smooth image block, an initial high-resolution image block serves as a final high-resolution image block of the image block; A4) when the image block is not the smooth image block, reconstruction calculation is carried out by combining a graph theory; and A5) after that all image blocks obtain the final high-resolution image blocks, a final reconstructed high-resolution image is obtained. During construction, an average value of two high-resolution pixel values corresponding to a pixel point is used for a pixel point in an overlapped area. The super-resolution reconstruction method can be used to reduce the computing complexity and reduce processing time.

Description

【Technical field】 [0001] The invention relates to the fields of computer vision technology and image processing, in particular to an image super-resolution reconstruction method. 【Background technique】 [0002] Image super-resolution technology does not need to change the existing physical equipment, as long as appropriate digital signal processing technology can be used to obtain high-resolution images that meet the needs, it has great advantages in technology and cost, so it is being increasingly used It is used in high-definition digital TV, military remote sensing monitoring, public safety and medical imaging and other fields. Compared with the multi-frame reconstruction technology, the single-frame image super-resolution technology only needs one low-resolution image in the actual scene to estimate the high-resolution image in the same scene during reconstruction, which is more suitable for some applications. Application requirements. Meanwhile, depth images play an i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
CPCG06T3/4053
Inventor 张永兵冯义晖王兴政王好谦戴琼海张云
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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