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Nonuniformity Correction Method Based on Singular Value Decomposition in Fuzzy Domain

A technology of non-uniformity correction and singular value decomposition, applied in image enhancement, instrumentation, computing, etc., to achieve the effect of improving quality, applicability and robustness

Inactive Publication Date: 2019-09-27
NANJING UNIV OF SCI & TECH
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  • Abstract
  • Description
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Problems solved by technology

Similarly, the denoising problem of low-frequency noise such as non-uniform noise in infrared images cannot be solved by singular value decomposition alone.

Method used

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  • Nonuniformity Correction Method Based on Singular Value Decomposition in Fuzzy Domain
  • Nonuniformity Correction Method Based on Singular Value Decomposition in Fuzzy Domain
  • Nonuniformity Correction Method Based on Singular Value Decomposition in Fuzzy Domain

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Embodiment 1

[0063] to combine Figure 1 to Figure 5 , a non-uniformity correction method based on fuzzy domain singular value decomposition, including the following steps:

[0064] Step 1: Collect the infrared image sequence f(i,j)=k(i,j)+n(i,j) of a city with a high-altitude aerial shot with non-uniform noise through the Flir TAU2-640 thermal imaging camera, where f (i, j) represent the infrared images actually observed by Flir TAU2-640 (such as figure 2 shown), k(i, j) represents the ideal noise-free infrared image, n(i, j) represents the infrared non-uniformity noise caused by the different responsivity of the imaging unit of the infrared thermal imager, (i, j) represents the image The location of the pixel.

[0065] Step 2: Convert the actually observed infrared image f(i,j) from the spatial domain to the fuzzy domain image u(i,j) in the fuzzy domain, the formula is as follows:

[0066]

[0067] Where xmax is the maximum gray value of all pixels in the image f(i,j), img represe...

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Abstract

The invention discloses a non-uniformity correction method based on fuzzy domain singular value decomposition (SVD). Firstly, an image is converted to a fuzzy domain from a spatial domain through a membership function, and the fundamental frequency information of the image is obtained through SVD in the fuzzy domain; then, the image after processing is converted to the spatial domain from the fuzzy domain, subtraction with an original image is carried out to remove stripe noise and lid effects in the image; and finally, a noiseless image after correction is obtained through a stretching contrast algorithm. The non-uniformity correction method based on the SVD has the advantages that the fuzzy domain method is firstly introduced for non-uniformity correction on the infrared image, the fundamental frequency information of the image is obtained through the SVD, the information is non-uniformity noise extracted from the image, the whole processing process only needs to use single frame information, drastic requirements on a scene by the traditional non-uniformity correction algorithm are avoided, and the method can be widely applied to non-uniformity correction tasks in different environments.

Description

technical field [0001] The invention relates to a single-frame non-uniformity correction technology of infrared images, in particular to a non-uniformity correction method based on fuzzy domain singular value decomposition (SVD). Background technique [0002] Infrared focal plane array device (IRFPA) is currently the most mainstream infrared thermal imager, widely used in various fields, but due to factors such as manufacturing process and working environment, the responsivity of IRFPA's detector elements is inconsistent, which is specifically manifested as the output image. A certain non-uniform fixed stripe noise (NUC-FPN) seriously affects the image quality. [0003] Fuzzy mathematics takes uncertain things as the research object, and is applied to various aspects such as fuzzy control, fuzzy recognition, fuzzy cluster analysis, fuzzy decision-making, fuzzy evaluation, system theory, information retrieval, and medicine. In 1983, Pal et al. first proposed an image algorit...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
CPCG06T2207/10048G06T2207/20182G06T5/70
Inventor 潘科辰顾国华隋修宝沈雪薇陶远荣匡小冬吴健张业伟高航刘源
Owner NANJING UNIV OF SCI & TECH