Method for evaluating perception sharpness of fused image based on human visual characteristics
A technology for sharpness evaluation and image fusion, which is applied in image analysis, image data processing, instruments, etc., and can solve problems such as inability to obtain evaluation results and lack of consideration of human visual characteristics.
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Embodiment (1
[0038] In this embodiment, the human eye perception sharpness evaluation is performed on the color fusion image of the infrared source image and the visible light source image of the same scene, and the evaluation steps are as follows:
[0039] Step 1. Set the infrared source image and the visible light source image of the same scene as S IR (x,y) and S Vis (x,y). If the sizes of the two are inconsistent, the infrared source image and the visible light source image are scaled to make them the same size. The following steps are all for the scaled infrared source image S IR (x,y) and visible light source image S Vis (x, y) is carried out, (x, y) is the coordinate of the pixel position in the image;
[0040] Step 2, using the infrared (IR) source image and visible light source (Vis) image described in step 1 to determine the ROI of the human eye region of interest, the steps are as follows:
[0041] 201. The high-frequency band-pass image corresponds to the details and edges of...
Embodiment (2
[0091] In this embodiment, the human eye perception sharpness evaluation is performed on the grayscale fusion image of the IR source image and the Vis source image. When grayscale fusion is selected, the grayscale fusion image g(x, y) can be directly obtained, which can be used in the following steps to obtain the sharpness evaluation score of the grayscale fusion image.
Embodiment (3
[0093] In this embodiment, the human eye perception sharpness evaluation is performed on color fusion images or grayscale fusion images of images in other bands, and the evaluation steps are as follows:
[0094] The present invention is not only applicable to the sharpness evaluation of the color fusion image of the infrared source image (IR) and the visible light source image (Vis), but also applicable to the sharpness evaluation after image fusion between any two bands other than infrared and visible light. When it is used for the evaluation of perceptual sharpness of image fusion between any other two bands, the specific evaluation steps are similar to those in embodiment (1) or embodiment (2).
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