Multi-frame low-resolution image super-resolution reconstruction method based on convex combination mode

A super-resolution reconstruction and low-resolution image technology, which is applied in the field of computer vision, can solve the problems of large deviation of the overall gray value of the pixel and holes, etc., and achieve the effect of denoising, high precision and improvement effect

Active Publication Date: 2017-01-04
成都金融梦工场投资管理有限公司
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Problems solved by technology

[0006] (2) Faster reconstruction is needed. Since the multi-frame reconstruction method is mostly an iterative solution, the real-time performance needs to be improved. After interpolation and reconstruction, there are problems of large deviation of the overall gray value of the pixel and holes;

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  • Multi-frame low-resolution image super-resolution reconstruction method based on convex combination mode
  • Multi-frame low-resolution image super-resolution reconstruction method based on convex combination mode
  • Multi-frame low-resolution image super-resolution reconstruction method based on convex combination mode

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Embodiment 1

[0037] Procedure 1, Implementing the Joint Estimation Method to Generate High-Resolution Image I joint

[0038] (1.1) The method of super-resolution reconstruction first needs to obtain data such as motion estimation parameters and image blur parameters to perform reconstruction. However, the obtained parameters cannot be guaranteed to be completely accurate, and small errors in the parameters will be amplified during the reconstruction process. Therefore, if we can find a way to reduce the cumulative effect of parameter errors, the effect of super-resolution reconstruction will be improved to a certain extent. So the joint method reformulates the super-resolution reconstruction framework as follows:

[0039] X ^ = argmin X ^ { Σ k = 1 N f ( Y k - ...

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Abstract

The invention discloses a multi-frame low-resolution image super-resolution reconstruction method based on a convex combination mode, belongs to the field of computer vision, mainly solves a problem of image processing precision and provides an optimization algorithm. The method comprises the following steps of applying joint motion estimation and super-resolution reconstruction methods to an input multi-frame low-resolution (LR) image sequence to obtain a joint high-resolution (HR) image Ijoint; applying a reconstruction method based on improved kernel regression to the input multi-frame LR image sequence to obtain a kernel regression HR image Ikernel; and applying a convex combination frame provided by the invention and deciding a fused region according to an airspace fusion rule, deciding frequency components that need to be fused according to a frequency domain rule and deciding weight distribution of fusion of two methods according to the global weight, and then fusing the HR images obtained by the two steps through the three aspects to obtain a final reconstructed HR image.

Description

technical field [0001] The invention belongs to the field of computer vision, relates to image processing and optimization theory, and specifically relates to a new super-resolution reconstruction method based on convex combination of improved kernel regression and joint estimation. Background technique [0002] With the deepening of the information age, multimedia information has grown explosively, and people are surrounded by various digital information (such as images, audio, video, etc.) all the time. With the wide application and maturity of image and video technology, people have higher and higher requirements for digital image and video quality. In actual application scenarios (such as photos taken by mobile phones, or surveillance videos), relatively clear images or videos are usually required for post-processing and analysis of digital images and videos, and a concept closely related to image clarity is The resolution of the image. Resolution is defined as the abi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/40G06T7/20G06T7/00
CPCG06T3/4053G06T2207/10016
Inventor 高建彬唐欢
Owner 成都金融梦工场投资管理有限公司
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