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Multi-frame super-resolution image reconstruction method and system

A technology for super-resolution images and low-resolution images, applied in the field of image processing, can solve the problems of inability to completely eliminate noise, reduce the quality of super-resolution images, and inability to achieve accurate estimation, so as to improve image registration accuracy and clarity Effect

Inactive Publication Date: 2016-12-07
北京互信互通信息技术有限公司
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Problems solved by technology

Since the noise in the imaging process of the image inevitably exists like a computer virus, no matter which reconstruction method can accurately estimate the noise model and denoising method in the imaging process, it is impossible to completely eliminate the noise. Moreover, after the low-resolution image is amplified by interpolation, the noise is also amplified, which further increases the influence of noise and reduces the quality of the super-resolution image. This is another area that needs to be improved in the super-resolution reconstruction method.

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[0064] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Such as figure 1 Shown is a principle flowchart of a multi-frame super-resolution image reconstruction method provided by Embodiment 1 of the present invention, in which:

[0066] Step 11. Read in multiple frames of images, and select one of the frames as a reference frame for registration;

[0067] Step 12: Select a frame of low-resolution image, and calculate the sub-pixel displacement of the low-resolution image relative to the reference frame;

[0068] Step 13, calculating a high-resolution reconstructed image according to the multiple frames of low-resolution image pixels and their sub-pixel displacement relationship relative to the reference frame; reconstructing one ...

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Abstract

The invention discloses a multi-frame super-resolution image reconstruction method and system. An advanced image registration algorithm is adopted to enhance the image registration accuracy and application is more flexible and convenient, and a denoising link is additionally arranged after image reconstruction so that noise amplified in the super-resolution process can be removed and the sharpness of super-resolution images can be enhanced.

Description

Technical field [0001] The invention relates to the technical field of image processing, in particular to a multi-frame super-resolution image reconstruction method and system. Background technique [0002] Currently, multi-frame super-resolution reconstruction can be divided into two parts: image registration and image reconstruction. [0003] Image registration is one of the key technologies of super-resolution reconstruction, and the accuracy of registration will directly affect the quality of the reconstructed image. Since only the information in low-resolution images can be used during registration, it is difficult to achieve a more accurate estimation. Multi-frame image super-resolution reconstruction is based on accurate sub-pixel motion estimation. At present, image registration methods mainly include frequency domain methods and spatial domain methods. The most used in super-resolution reconstruction is the optical flow-based method in the spatial domain, that is, the mo...

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Application Information

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IPC IPC(8): G06T3/40G06T5/50
CPCG06T3/4076G06T5/50
Inventor 项娇滑俊楠
Owner 北京互信互通信息技术有限公司
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