Processing method for retaining ghosting-free moving object in high-dynamic range image fusion

Abstract

The invention belongs to the digital image processing field and relates to a processing method for retaining a ghosting-free moving object in high-dynamic range image fusion. The objective of the invention is to remove ghosting and retain a high-exposure degree moving object in an image fusion process. The method includes the following steps that: images are converted into gray-scale images, and histogram equalization is carried out on the series of gray-scale images; with a moving object adopted as a singular point, a modeling result of a moving object-removed background image is obtained by utilizing median filtering; the background image is subtracted from the images comprising the moving object, so that images which only comprise the moving object after the background is removed can be obtained; and through morphological operations comprising erosion and dilation, precision processing is performed on the moving object images, large values are assigned for weight portions corresponding to the pixels of the moving object to be retained by using the coordinate information of the pixels of the moving object to be retained, and an obtained result is adopted as a weight map, and then, fusion is performed on the images according to the weight map. The processing method of the invention is mainly applied to digital image processing.

Description

technical field [0001] The invention belongs to the field of digital image processing, and specifically relates to a ghost image processing method in high dynamic range multi-exposure image fusion. Background technique [0002] Traditional low dynamic range (LowDynamicRange, LDR) images will lose some important information in overexposed and underexposed areas. High Dynamic Range (HDR) images expand the dynamic range covered by a single image and enhance image details by fusing a series of low dynamic range images with different exposures. In order to obtain a high dynamic range image, the existing fusion technology is usually obtained by fusing low dynamic range images with different exposures. However, most of the images obtained in real scenes contain dynamic elements such as moving objects, which will cause ghost images in the high dynamic range images obtained after fusion. The existing deghosting technology usually directly removes the moving objects contained in all...

AI Technical Summary

Problems solved by technology

However, the quality of the results of this method mainly depends on whether the motion estimation is accurate, and it is difficult to get the correct result

[0007] It can be seen that the existing multi-exposure image fusion deghosting algorithm often requires complex calculations to obtain the response curve of the camera, or needs to set a reference image, and all the images contained in all the images to be fused are directly integrated during the fusion process. Moving objects are removed, the calculation is complicated and the authenticity of the original image is lost

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