Rapid image fusion algorithm based on pixel level

Abstract

The invention discloses a rapid image fusion algorithm based on the pixel level. The method comprises steps that firstly, color space transformation of a visible light image is carried out, and the visible light image is transformed from the RGB space to the YUV space; secondly, adaptive weights of the visible light image and an infrared image are acquired respectively; thirdly, the weighted meanmethod is utilized to process the fusion process of the visible light image and the infrared image; fourthly, the fusion result is optimized and adjusted; and lastly, color space transformation of thevisible light image is carried out, the image is transformed from the YUV color space to the RGB space, and the whole image fusion process is completed. The method is advantaged in that the visible light image and the infrared image can be fused on the pixel level, the abundant spectrum information and the high resolution of the visible light image and the unique heat radiation characteristic ofthe infrared image are fully integrated, and maximized image information fusion is realized.

Description

technical field [0001] The invention belongs to an optical image processing algorithm, in particular to a pixel-level fast image fusion algorithm applied to an airborne photoelectric pod. Background technique [0002] Image fusion, as an effective technology for comprehensively processing multi-sensor image data, has been widely used, especially in the fields of visible light and infrared sensors, and its application range has spread to military, security monitoring and other fields. [0003] The visible light spectrum is rich in information, and can reflect the details of the scene under a certain illumination, but the contrast is low when the illumination is insufficient; the infrared image is a thermal radiation image, and the gray value of the target is determined by the temperature difference between itself and the background. Can find the target, but the resolution is not high, the color is not rich enough. There are deficiencies in using visible light or infrared ima...

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Problems solved by technology

[0003] The visible light spectrum is rich in information, and can reflect the details of the scene under a certain illumination, but the contrast is low when the illumination is insufficient; the infrared image is a thermal radiation image, and the gray value of the target is determined by the temperature difference between itself and the background. Can find the target, but the resolution is not high, the color is not rich enough

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