Noise-robustness image similarity distinguishing method

A discrimination method and similarity technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as image signal disturbance, low-rank characteristics of visual data, and discrimination affecting similarity.

Active Publication Date: 2015-07-22
NAT UNIV OF DEFENSE TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

However, under the condition of noise or extremely noise, the existence of noise will bring great disturbance to the image signal, even subversive influence, thus seriously affecting the similarity judgment

Method used

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Embodiment Construction

[0036] Below, the present invention will be further described in conjunction with specific embodiments and accompanying drawings.

[0037] The present invention takes the image stitching based on block matching under the condition of large noise as an example, and uses the method proposed by the present invention to search for similar image blocks in two consecutive frames, so as to prove the effectiveness of the method proposed by the present invention. The specific steps are as follows:

[0038] First, select two consecutive frames of images in the same video, the image size is 768×1024, as attached figure 2 shown. Due to the limitations of shooting equipment and shooting environment, the image contains a certain degree of noise, which will bring certain difficulties to the search for similar blocks in the image. Such as image 3 Shown is the result of searching using the traditional image block similarity discrimination method. It can be seen that due to the existence of...

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Abstract

The invention discloses a noise-robustness image similarity distinguishing method, and belongs to the field of digital image processing. By the noise-robustness image similarity distinguishing method, images with large noises can be matched with accurate image blocks, the image matching accuracy is improved, and image processing methods such as image stitching and image denoising which are based on block matching can be implemented. A noise-robustness similarity distinguishing function is established by a low-rank matrix decomposition theory which is rapidly developed recently, influences of irregular disturbance such as noises on similarity distinguishing are eliminated, and distinguishing effectiveness under the condition of large noises can be guaranteed.

Description

technical field [0001] The invention belongs to the field of digital image processing, especially for the problem of matching and similarity evaluation of image blocks obtained under the condition of large noise. The low-rank matrix decomposition theory is used to transform the similarity judgment of image blocks into the rank characteristics of the matrix, and specifically relates to A Noise-Robust Image Similarity Discrimination Method. Background technique [0002] As a basic method in the field of image processing, image block matching technology has important applications in the fields of image stitching, image denoising, etc. Among them, image block similarity discrimination is a key theoretical part of image block matching. Generally, the image similarity discrimination method refers to a class of functions that can quantify the degree of similarity between two image regions, and select the most similar image region in the two frames of images that conforms to the hab...

Claims

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Application Information

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IPC IPC(8): G06T3/00G06T7/20
CPCG06T3/0068G06T2207/20221
Inventor 熊志辉肖华欣张茂军赖世铭徐玮
Owner NAT UNIV OF DEFENSE TECH
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