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Total generalized variation-based infrared image multi-sensor super-resolution reconstruction method

A super-resolution reconstruction and infrared image technology, applied in the field of infrared image processing, can solve the problems of high computational complexity, inability to provide image information, and limited image information in the training process.

Inactive Publication Date: 2014-12-31
SICHUAN UNIV
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Problems solved by technology

The training process of the sample library in this technology has a large computational complexity
The above traditional image super-resolution reconstruction methods have their own shortcomings, and most of them use the images obtained by the same sensor for reconstruction. However, the image information obtained by the same sensor is limited and cannot provide more comprehensive and usable image information. Therefore, based on the traditional The quality of the high-resolution infrared images reconstructed by the method is poor

Method used

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  • Total generalized variation-based infrared image multi-sensor super-resolution reconstruction method
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Embodiment Construction

[0070] The present invention will be described in detail below in conjunction with specific experiments, but should not be construed as any limitation to the protection scope of the present invention.

[0071] The present invention conducts specific experiments to verify the effectiveness of the proposed algorithm. image 3 The images used in the experiment are visible light images and infrared images of houses, and the high-resolution visible light images and high-resolution infrared images are images of the same scene with a resolution of 320×240.

[0072] In the first step, the high-resolution infrared image is degraded, that is, downsampled by 2 times. In the experiment of the present invention, a low-resolution infrared image with a resolution of 160×120 is obtained by using a Gaussian pyramid down-sampling method ,Such as Figure 4 shown.

[0073] In the second step, the low-resolution infrared image obtained in the first step is Diffusion into the coordinate space...

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Abstract

The invention discloses a total generalized variation-based infrared image multi-sensor super-resolution reconstruction method. The total generalized variation-based infrared image multi-sensor super-resolution reconstruction method mainly comprises the steps of projecting a low-resolution infrared image into the coordinate space of a high-resolution visible image, obtaining a sparse infrared image and solving a data item weighting coefficient according to the sparse infrared image; performing normalization processing on the sparse infrared image and obtaining a normalization infrared image; solving the marginal information of the high-resolution visible image through a phase equalization algorithm; constructing a data item by the data item weighting coefficient and the normalization infrared image; weighting a TGV regular term improved by a first-order gradient operator through the marginal information of the visible image and constructing a regular bound term; adding the data item and the regular bound term to construct an objective function, solving the objective function in an iterative mode through a primal-dual optimization algorithm with the normalization infrared image serving as an initial value and obtaining a reconstructed high-resolution infrared image. Experiments show that the quality of the image reconstructed by the total generalized variation-based infrared image multi-sensor super-resolution reconstruction method is high and the image is close to an original high-resolution infrared image.

Description

technical field [0001] The invention relates to an infrared image processing technology, in particular to a method for super-resolution reconstruction of a low-resolution infrared image guided by a high-resolution visible light image, and belongs to the technical field of infrared image super-resolution. Background technique [0002] Infrared images reflect the radiation characteristics of the scene, which can provide valuable information for many application fields, such as military reconnaissance and remote control, etc., but compared with visible light images, infrared images have blurred edges and lack texture information. The spatial resolution of infrared images acquired by sensors is limited, so it is difficult to directly extract sufficient information from infrared images. Improving the spatial resolution of infrared images is an urgent problem to be solved. [0003] In order to solve the above-mentioned problems in infrared images, people first researched from the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 吴炜苏冰山杨晓敏刘凯陈雨
Owner SICHUAN UNIV
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