Image reconstruction method based on combination of motion estimation and super-resolution reconstruction

A technology of super-resolution reconstruction and image reconstruction, which is applied in the field of image processing and can solve the problems that the motion estimation process is not completely accurate and affects super-resolution reconstruction.

Inactive Publication Date: 2011-09-21
ZHEJIANG UNIV
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Problems solved by technology

[0004] In the traditional super-resolution image reconstruction method, the motion estimation process and the super-resolution reconstruction process are two separate steps. Since t...

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  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction
  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction
  • Image reconstruction method based on combination of motion estimation and super-resolution reconstruction

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Embodiment Construction

[0027] In order to describe the present invention more specifically, the image reconstruction method of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0028] Such as figure 1 As shown, the specific implementation process of an image reconstruction method based on joint motion estimation and super-resolution reconstruction is as follows:

[0029] (1) All low-resolution images are enlarged by trilinear interpolation.

[0030] Obtain a frame of low-resolution images to be reconstructed and N frames of reference images, perform trilinear interpolation and amplification on all low-resolution images, and obtain a frame of interpolated images to be reconstructed and N frames of reference interpolated images.

[0031] Let i, j be non-negative integers, u, v∈[0, 1), f(i, j) is the pixel value at the point (i, j) in the image, then the trilinear interpolation method consists of the following five formula...

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Abstract

The invention discloses an image reconstruction method based on combination of motion estimation and super-resolution reconstruction, and the method comprises the following steps: (1) performing interpolation amplification on all low-resolution images; (2) performing motion estimation on the image to be reconstructed and the reference images respectively; (3) fusing the images, thus getting a fused image; and (4) performing denoising treatment on the fused image, thus getting the super-resolution reconstructed image. The motion estimation process and the super-resolution reconstruction process are combined together, and the relation between a plurality of the reference images with different low resolutions and a motion estimation parameter of the image to be reconstructed is utilized, so that the precision of the motion estimation parameter is simultaneously optimized during the super-resolution reconstruction process, and the super-resolution reconstruction effect is effectively enhanced. Therefore, the method can be widely applied in the field of satellite remote sensing of biomedical images, image repairing and the like.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image reconstruction method based on joint motion estimation and super-resolution reconstruction. Background technique [0002] Image resolution has always been an important indicator for people to measure image quality. Traditionally, people use image interpolation methods to improve image resolution, such as bilinear interpolation algorithms, cubic linear interpolation algorithms, and so on. However, these methods have limited effects because no new amount of information is introduced. In order to further improve the resolution of images, super-resolution image reconstruction methods have been proposed to solve this problem. [0003] Image super-resolution reconstruction technology is to use several low-resolution images, combined with some prior information of the image, using modern signal processing technology to remove blur, noise and other factors...

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Application Information

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IPC IPC(8): G06T5/50
Inventor 谢立唐磊
Owner ZHEJIANG UNIV
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