Color image fusion method based on S-PCNN and Laplacian pyramid

A technology of color image and fusion method, which is applied in the field of image processing, can solve problems such as poor results, and achieve good details and color information, and the effect of clear color images

Inactive Publication Date: 2016-01-06
YUNNAN UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Commonly used algorithms such as IHS, weighted and PCA transformation algorithms are easy to implement but the effect is not good

Method used

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  • Color image fusion method based on S-PCNN and Laplacian pyramid
  • Color image fusion method based on S-PCNN and Laplacian pyramid
  • Color image fusion method based on S-PCNN and Laplacian pyramid

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Embodiment

[0017] Embodiment: a kind of color image fusion method based on S-PCNN and Laplacian pyramid, specifically comprises the following steps:

[0018] A. The color image fusion of S-PCNN and Laplacian pyramid; first, the RGB color image space is converted into an HSV image, and the three components of H, S, and V are obtained, and the three components of H, S, and V are: hue, Saturation, Brightness. H is measured by angle, and the value range is 0°~360°; S represents the degree of color purity, and V represents the brightness of the image, which is a measure of grayscale, and their range is 0~1. The transformation relational formula for converting RGB color image space to HSV color space is as follows:

[0019]

[0020] S = max ( R , G , B ) - ...

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Abstract

The invention provides a color image fusion method based on an S-PCNN and a Laplacian pyramid. An effective color image fusion method based on an S-PCNN (simplified pulse coupled neuronal network) and a Laplacian pyramid is brought forward. In HSV color space, after the S-PCNN and local entropy are used for carrying out feature region clustering on an H component, fusion of H components of source images is realized on the basis of a pulse oscillation frequency diagram; the Laplacian pyramid is used for carrying out resolution decomposition on an S component and a V component, and then different fusion rules are used for fusing the S component and the V component; and finally, color space inverse transformation is carried out on the new H component, the S component and the V component, and fusion of an RGB color image is realized. The experimental result shows that the algorithm of the invention is better than other common image fusion algorithm both in the aspect of subjective visual effects and in the aspect of objective evaluation standard.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a color image fusion method based on S-PCNN and Laplacian pyramid. Background technique [0002] Image fusion is a consistent branch of information fusion and one of the current research hotspots in information fusion. Color image fusion makes the fused image describe the same scene more accurately, comprehensively and reliably. At present, there are relatively few studies on color image fusion, and the recognition of color information by human vision is much higher than that of grayscale images. With the improvement and availability of sensor technology, color image fusion will receive more and more attention. Color images combine different brightness and different colors to represent image information. Therefore, fusion based on color space generally performs fusion on each component separately. Commonly used algorithms such as IHS, weighting and PCA tr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50
Inventor 聂仁灿金鑫周冬明王佺余介夫贺康建何敏谭明川
Owner YUNNAN UNIV
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