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.

Inactive Publication Date: 2015-10-14
TIANJIN UNIV
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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 t

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  • Multi-exposure image fusion ghosting removing method based on background modeling
  • Multi-exposure image fusion ghosting removing method based on background modeling
  • Multi-exposure image fusion ghosting removing method based on background modeling

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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

The present invention relates to digital image processing and high dynamic range image processing. In order to detect and correct ghosting generated in the image fusing process, the present invention adopts the technical scheme that a multi-exposure image fusion ghosting removing method based on background modeling comprises the following steps of: firstly, converting images into gray-scale images and carrying out histogram equalization on a series of images with different exposures, so that the gray scales of the images are normalized into a range of 0 to 255 and are uniformly distributed; then a moving object is used as a singular point and obtaining a modeling result of removing a background image of the moving object by utilizing median filtering; respectively subtracting the background image from the images comprising the moving object to obtain the images which only comprise the moving object after the background is removed; and by morphological operations comprising erosion and dilation, carrying out precision processing on the moving object images, using an obtained result as a weight map and then according to the weight map, carrying out fusion on the images. The multi-exposure image fusion ghosting removing method based on background modeling is mainly applied to digital image processing.

Description

technical field [0001] The invention relates to digital image processing and high dynamic range image processing, in particular to a multi-exposure image fusion ghost removal algorithm based on background modeling. Background technique [0002] Modern digital cameras cannot cover the entire dynamic range of a natural scene with a single exposure. This will cause a problem in the process of digital image reconstruction, the traditional low dynamic range (Low Dynamic Range, LDR) image cannot contain all the details in the 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 ensure that a fused image without ghosts can be obtained in the existing fusion technology, the background of the image to be fused with different exposures must be completely still. However, images obtained in real scenes mostly c...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 徐岩韦镇余孙婧雷志春
Owner TIANJIN UNIV
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