Multi-exposure image fusion ghosting removing method based on background modeling
An image fusion and background modeling technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as difficulty in obtaining results, and achieve the effects of good image restoration, simple algorithm ideas, and low computational complexity.
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[0046] The present invention aims at detecting and correcting ghost images produced during image fusion. The main idea of the algorithm in this paper is as follows: First, it is necessary to detect moving objects in the multi-exposure image, and then assign a very small weight to the detected moving objects during the fusion process. Other parts are given greater weight. The specific steps are as follows. In order to reduce the amount of calculation, the image is first converted into a grayscale image, and the histogram equalization is performed on a series of images with different exposures, so that the grayscale of the image is normalized to the range of 0-255 and the distribution is uniform. Then the moving object is regarded as a singular point, and the modeling result of removing the background image of the moving object is obtained by using the median filter. Subtract the difference between the image containing the moving object and the background image respectively t...
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Abstract
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