Image super resolution reconstruction method on basis of Contourlet transformation

A super-resolution reconstruction and super-resolution technology, which is applied in the field of image super-resolution reconstruction based on Contourlet transform, can solve the problems that the image edge details are difficult to reproduce, and the geometric information of the image is not used, so as to achieve clear edges and complex algorithms low degree of effect

Active Publication Date: 2013-08-07
BEIJING JIAOTONG UNIV
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Problems solved by technology

The interpolation method is a common super-resolution reconstruction method, but this method does not use the geometric information of the image, and the edge details of the image are difficult to reproduce

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  • Image super resolution reconstruction method on basis of Contourlet transformation
  • Image super resolution reconstruction method on basis of Contourlet transformation
  • Image super resolution reconstruction method on basis of Contourlet transformation

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Embodiment Construction

[0020] In the imaging stage of the image, it is inevitably affected by factors such as noise and blur, so the obtained image is a degraded image, and its mathematical model is shown in formula (1):

[0021] x L =f*x H +n (1)

[0022] x H Indicates the original high-resolution image, f is the system blur, and n is the noise. x L is the low-resolution image after systematic blurring and noise pollution. * indicates the convolution process. x L can be represented by a Contourlet transformation Ψ as a sparser coefficient s:

[0023] x L =Ψs(2)

[0024] combined with Figure 1-2 , an image super-resolution reconstruction method based on Contourlet transform includes the following steps.

[0025] Step 1, for the known low-resolution image x L Perform Contourlet transformation

[0026] Assuming a low resolution image x L The size of is 256*256, and the Contourlet transformation is performed on it to obtain the coefficient s of the transformed Contourlet domain. The Con...

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Abstract

The invention relates to an image super resolution reconstruction method on the basis of contourlet transformation. An initial high-resolution estimation image and the contourlet transformation are utilized to acquire multi-scale multidirectional features of the image in the frequency domain so as to realize effective estimation of high frequency information and acquire a super resolution image with a clearer edge under the condition of a known low-resolution image.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to an image super-resolution reconstruction method based on Contourlet transform Background technique [0002] Super-resolution reconstruction of images is very useful for subsequent feature extraction and analysis. The super-resolution reconstruction method reconstructs a low-resolution image into a high-resolution image. During the reconstruction process, the high-frequency component is enhanced, that is, the super-resolution reconstruction obtains the detailed information of the image. Contourlet transform is a directional multi-scale image representation, which can effectively obtain multi-directional features of images and detect singular points of images. Contourlet transformation includes two steps: LP (Laplacian pyramid) and DFB (directional filter banks). The LP step decomposes the image iteratively into high-pass and low-pass sub-bands, and DFB decomposes the deco...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
Inventor 申艳陈后金郝晓莉闻映红姚畅李居鹏张金宝
Owner BEIJING JIAOTONG UNIV
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