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Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering

A compressive sensing reconstruction and guided filtering technology, which is applied in image enhancement, image coding, image data processing, etc., can solve the problems of poor effect and low infrared image quality, and achieve low sparsity and good compressive sensing reconstruction effect Effect

Active Publication Date: 2015-01-07
XIDIAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to overcome the low quality of traditional infrared images and the poor effect of existing compressive sensing reconstruction methods, and propose an infrared image compressive sensing reconstruction method based on guided filtering and shear filtering to effectively improve the quality of infrared images

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  • Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering
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  • Infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering

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Embodiment Construction

[0018] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0019] Step 1, perform sparse transformation on the original infrared image

[0020] (1a) Multi-scale decomposition of the original infrared image using guided filtering to obtain a low-frequency blurred image and a series of high-frequency detail images

[0021] Guided Filtering (GF) is an explicit filter based on a local linear model, which can quickly achieve edge-preserving smoothing without gradient reversal. There is a local linear model between the filtered output Y and the guide image X, assuming that Y is a linear transformation of X, in a local window ω centered on the pixel s s middle:

[0022] Y m = u s X m + v s , ∀ m ∈ ω s ...

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Abstract

The invention discloses an infrared image compressed sensing reconstruction method based on guiding filtering and clipping filtering. The method mainly solves the problems that a traditional infrared image is low in quality and an existing compressed sensing reconstruction method is poor in effect. The method comprises the steps of (1) utilizing guiding filtering for conducting multi-scale decomposition on an original infrared image to obtain a low-frequency fuzzy image and a series of high-frequency detailed images, (2) conducting multi-direction decomposition on the high-frequency detailed images by means of the clipping filtering, adopting a partial Hadamard matrix for conducting dimensionality reduction observation for coefficients in different directions, a multi-path matching tracking method is used for optimization and reconstruction, conducting clipping filtering on the reconstructed coefficients in different directions to obtain the reconstructed high-frequency detailed images, and (3) adding the reconstructed high-frequency detailed images with a low-frequency smooth image obtained through traditional linear sampling to obtain an infrared reconstructed image. Compared with an existing compressed sensing technology, the better reconstructed quality is obtained, and the infrared image reconstruction method is effective and feasible.

Description

technical field [0001] The invention relates to an infrared image compression sensing reconstruction method based on guidance filtering and shearing filtering. Background technique [0002] Infrared imaging systems have been widely used in military and civilian fields, such as infrared night vision, precision guidance, search and tracking, and security monitoring. As people's image acquisition requirements for infrared systems become more and more refined and diversified, it is necessary to improve the quality of the system. However, due to the limitations of manufacturing processes and quantum efficiency, it is difficult to reduce the pixel size or increase To improve the quality of infrared imaging system, it has become a bottleneck in the development of modern infrared imaging technology. Therefore, it is necessary to break the traditional imaging method and develop a new infrared imaging system to achieve high-quality infrared imaging. [0003] The emerging compressed ...

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Application Information

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IPC IPC(8): G06T9/00G06T5/00G06T11/00
Inventor 秦翰林韩姣姣周慧鑫宗靖国赖睿延翔王炳健李佳曾庆杰成宽洪刘上乾
Owner XIDIAN UNIV
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