Medium-long wave dual-band infrared image fusion method

Abstract

The invention discloses a medium-long wave dual-band infrared image fusion method. The method comprises the following steps: 1, ; reading an image to be fused, processing a Y channel, extracting detail features of a medium-wave image, extracting difference features of the medium-wave image and a long-wave image, calculating reference mean values of a Cb channel and a Cr channel, calculating reference variances of the Cb channel and the Cr channel, calculating a mean value and a variance of a source image, transferring colors, superposing the features, and outputting a final fused image. The medium-long wave infrared image fusion algorithm provided by the invention is based on a color transfer theory, does not need to refer to that the image has a good visual effect in each scene, has extremely high environmental adaptability, has more radiation characteristics and detail characteristics, and is easy to popularize and apply.

Description

technical field [0001] The invention relates to the field of image fusion, in particular to a medium and long wave dual-band infrared image fusion method. Background technique [0002] In the field of infrared medium and long wave image fusion, a large number of algorithms have been developed so far. These algorithms can be divided into grayscale image fusion and color image fusion. However, due to the high resolution of color, humans can only distinguish dozens of gray levels. But it can distinguish thousands of colors with different hue, saturation and lightness. A lot of research and experiments have shown that when shooting, color images are more conducive to the observer's perception of the scene they see than black and white images. Interpretation enables observers to obtain higher environmental perception sensitivity and target recognition accuracy and reduce the reaction time required to make judgments. Therefore, compared with grayscale image fusion, many scholars ...

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Problems solved by technology

[0007] The original intention of color transfer is to adjust the color of the fused image to the required area through the reference image (for example, using the forest reference image for the forest scene) to facilitate the comfortable observation of the human eye, but the effects of different reference images are quite different in different scenes. It will bring the problems of loss of details and low contrast as mentioned above. If the reference image is not selected properly, it will even make it difficult for the human eye to observe, which violates the original intention of color transmission

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