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Edge self-adaptive image amplification method based on non-downsampling Contourlet conversion

A non-subsampling, adaptive technology, applied in the field of image processing

Inactive Publication Date: 2011-12-07
ZHEJIANG UNIV
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  • Claims
  • Application Information

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Problems solved by technology

At present, NSCT has not been applied in the field of image magnification

Method used

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  • Edge self-adaptive image amplification method based on non-downsampling Contourlet conversion
  • Edge self-adaptive image amplification method based on non-downsampling Contourlet conversion
  • Edge self-adaptive image amplification method based on non-downsampling Contourlet conversion

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specific Embodiment

[0054] refer to figure 1 , specific embodiments of the present invention are as follows:

[0055] (1) Input the original image, and set the resolution of the target image, and determine the zoom factor of the image in the horizontal and vertical directions;

[0056] Assuming that the resolution of the original image is M×N, and the resolution of the target image is P×Q, then the horizontal and vertical scaling factors are P / M and Q / N respectively, where M, N, P and Q are all positive integers.

[0057] (2) Carry out non-subsampling Contourlet transformation to the original image, obtain the direction subband coefficient image of non-subsampling Contourlet transformation domain;

[0058] The scale decomposition filter adopted for the non-subsampling Contourlet transform is a "maxflat" tower filter, and the direction decomposition filter adopted is a "diamond maxflat" directional filter. The original image is subjected to one-layer scale decomposition to obtain low-pass compo...

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Abstract

The invention provides an edge self-adaptive image amplification method based on non-downsampling Contourlet conversion, comprising the following steps: (1) inputting original images, setting resolution ratio of target images, and determining amplification proportional coefficient of the images; (2) carrying out non-downsampling Contourlet conversion on the original images to obtain directional subband coefficient image of transform domain; (3) amplifying the directional subband coefficient image to be the object resolution by adopting the directional self-adaptive interpolation method; (4) estimating the interpolation direction of each point to be interpolated of the target images according to the amplified directional subband coefficient image; (5) adopting the directional self-adaptiveinterpolation method to obtain the pixel value of the point to be interpolated according to the interpolation direction of the target images point to be interpolated; and (6) outputting ultimate amplified image. The invention realizes interpolation at any direction; the edges of the amplified images have high smooth level; and entire visual effect of the images is favorable, thus being applicableto proportional amplification of grey or colorful images.

Description

technical field [0001] The invention belongs to the field of image processing, and relates to the application of an image multi-scale geometric analysis tool in the field of image magnification, more specifically, an edge-adaptive image magnification method, which can be applied to natural scene images and artificially synthesized images, etc. Zoom in. Background technique [0002] Due to reasons such as image imaging sensor and image transmission, the original resolution of the image is often low. In order to adapt to the application of special display devices such as liquid crystal display screens, plasma color TVs and digital high-definition television display devices, the original resolution images often need to be enlarged. Image magnification is mainly realized by image interpolation technology, and the main problem is to maintain the sharpness of the image edge or texture area while enlarging the image. Traditional image interpolation and amplification methods inclu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T3/40
Inventor 王维东吴祖成张申赵亚飞刘鹏史册姚庆栋
Owner ZHEJIANG UNIV
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