NSCT domain infrared image enhancement method based on improved Retinex and quantum flora algorithm

An infrared image and quantum flora technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of loss of weak details, inability to effectively capture image edge details, limited directionality, etc., to achieve satisfactory visual perception , enriching details, enhancing the effect of overall contrast

Inactive Publication Date: 2019-10-01
FUZHOU UNIV
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Problems solved by technology

The Wavelet transform can extract image information from multiple scales, but its directionality is limited, and it can only describe image details from the vertical and horizontal directions. It cannot effectively capture the edge details of the image, and it is easy to cause the loss of weak details.
The Contourlet transform can decompose in any direction on any scale, and it uses the "strip" support interval to represent the contour and directional texture feature information of the image, but the downsampling process will inevitably produce spectral aliasing Distortion phenomenon, and then the decomposition of the image will be greatly reduced
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  • NSCT domain infrared image enhancement method based on improved Retinex and quantum flora algorithm
  • NSCT domain infrared image enhancement method based on improved Retinex and quantum flora algorithm
  • NSCT domain infrared image enhancement method based on improved Retinex and quantum flora algorithm

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Embodiment Construction

[0039] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0040] It should be pointed out that the following detailed description is exemplary and is intended to provide further explanation to the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0041] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combina...

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Abstract

The invention relates to an NSCT domain infrared image enhancement method based on improved Retinex and a quantum flora algorithm, and the method comprises the steps: carrying out the multi-scale andmulti-direction decomposition of an infrared image through employing NSCT transformation, and obtaining a low-frequency sub-band and a high-frequency sub-band; then, adopting an improved Retinex algorithm to enhance the low-frequency sub-band coefficient; introducing a quantum updating strategy of the nonlinear self-adaptive revolving door into a flora algorithm for optimizing fractional differential parameters, and performing denoising and enhancement on a high-frequency sub-band by combining a Bayes Shrink threshold value; and finally, performing NSCT inverse transformation on the processedlow-frequency sub-band coefficient and high-frequency sub-band coefficient to obtain an enhanced image. According to the method, the contrast, definition and information entropy of the infrared imageare greatly improved, the details of the infrared image are enhanced, and a more favorable infrared enhanced image is provided for subsequent infrared image processing.

Description

technical field [0001] The invention relates to the technical field of infrared image enhancement, in particular to an infrared image enhancement method in NSCT domain based on improved Retinex and quantum flora algorithm. Background technique [0002] Infrared technology has the advantages of strong anti-interference ability, strong environmental adaptability, good concealment and strong recognition ability, and is widely used in military investigation, medical diagnosis, industrial detection and resource exploration and other fields. Due to the complex imaging environment and the limitations of the inherent characteristics of the detector itself, infrared images generally have defects such as low contrast, blurred edges, and low signal-to-noise ratio, making some image details difficult to detect by human eyes. At this time, it is necessary to use image enhancement technology to process the infrared image, which can improve the visual effect of the infrared image and prepa...

Claims

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Application Information

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IPC IPC(8): G06T5/00G06N3/00
CPCG06N3/006G06T5/002G06T5/008G06T2207/10048
Inventor 廖一鹏张进陈诗媛
Owner FUZHOU UNIV
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