A compressed sensing compensation method based on an edge extraction and image fusion technology

An image fusion and compressed sensing technology, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as limited ability to resist different kinds of noise interference, untargeted improvement of important image features, and high transmission cost. Achieve accurate image detail display and enhance the ability to resist different types of noise interference

Inactive Publication Date: 2014-12-17
TIANJIN UNIV
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Problems solved by technology

Since all the transmitted data are located in the same sparse domain, the ability to resist different kinds of noise interference is

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  • A compressed sensing compensation method based on an edge extraction and image fusion technology
  • A compressed sensing compensation method based on an edge extraction and image fusion technology
  • A compressed sensing compensation method based on an edge extraction and image fusion technology

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[0022] The outstanding feature of the present invention is that the edge information is used as a supplement to the compressed sensing reconstruction result, and the image fusion method is used to realize the fusion of the edge information and the compressed sensing reconstructed image, so as to obtain a clearer and more comprehensive image transmission effect. Taking specific compressed sensing sampling measurement and compression reconstruction methods, edge detection and extraction methods as examples, see figure 1 and figure 2 , the specific embodiment of the present invention is as follows:

[0023] (1) Input the image I to be transmitted;

[0024] (2) Extract the edge information of the image in advance, which is divided into two stages: the edge detection stage, using the classic first-order edge detection sobel operator to perform edge detection on I, output the binary matrix BW1_0, and set the edge position to 1; edge extraction stage, multiply BW1_0 with the origi...

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Abstract

The invention relates to a compressed sensing compensation method based on an edge extraction and image fusion technology. The compressed sensing compensation method based on an edge extraction and image fusion technology comprises the following steps: at a sending end, inputting an original image I to be transmitted, extracting in advance an edge feature of the original image I in two stages, and obtaining a sparse matrix BW1 containing edge information of the original image; executing space-domain random sampling on the original image I by adopting a compressed sensing measurement method, and obtaining a low-dimensional projection matrix BW2 of the original image; integrating element information in the sparse matrix BW1 containing edge information of the original image and in the low-dimensional projection matrix BW2 of the original image, and transmitting the integrated element information; at a receiving end, executing edge decoding on transmission data, and reconstructing the low-dimensional projection matrix of the original image; executing registration on two images obtained, executing fusion on them by using a space-domain fusion principle, and outputting a final result BW3. The compressed sensing compensation method based on an edge extraction and image fusion technology has the advantages of the lower transmission cost and better ability of noise resistance.

Description

technical field [0001] The present invention generally relates to the field of digital image processing and compressed sensing, and more specifically relates to a technology that combines image edge extraction and spatial domain fusion, using pre-extracted image edge information as a supplement to the basic compressed sensing reconstruction results to enhance image Compressed sensing compensation method for transmission quality. Background technique [0002] With the development of the information age, compressed sensing, as a new information sampling and transmission technology, has received extensive attention, and its application in the field of digital image processing has also been widely developed. In the current field of image transmission, due to incomplete sampling and measurement methods and noise interference in unreliable channel transmission, network packet loss and other reasons, the image reconstruction effect of compressed sensing is blurred and the accuracy ...

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Application Information

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IPC IPC(8): G06T7/00G06T5/50
Inventor 金志刚赵明昕卫津津
Owner TIANJIN UNIV
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