Multi-exposure image fusion method of automatically removing ghosts
An image fusion, multi-exposure technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of inconsistent brightness in moving areas, unsuitable for real-time applications, easy residual ghosts, etc., to achieve good visual effects, remove ghosts, etc. Shadow phenomenon, simple method
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[0040] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.
[0041] Aiming at multi-exposure fusion of shooting scenes with moving objects, the present invention uses gradient domain weighted optimization to automatically remove ghost images, and uses block-based multi-exposure fusion method to fuse multiple input LDR images to preserve image details. The process of the present invention is as attached figure 1 As shown, it mainly includes three steps: motion region detection, latent image generation, and multi-exposure fusion.
[0042] Step 1. Motion Region Detection
[0043] 1-1 Input multiple LDR images with different exposure times, and select the input image with the middle exposure time as the reference image. Calculate the difference between a reference image and other input images using bidirectional luminance mapping
[0044]
[0045] where L n is the input image, L ref For the reference i...
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