Mr. Bao-hai Cong Profile

Bao-hai Cong

at space engineering uinversity

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Proceedings Article | 23 January 2023 Paper

Multi exposure image motion estimation based on improved optical flow

Bao-hai Cong, Ting-hua Zhang, Ying-chun Li, Lei-yuan Tian

Proceedings Volume 12557, 125570R (2023) https://doi.org/10.1117/12.2648115

KEYWORDS: Image fusion, High dynamic range imaging, Cameras, Image quality, Optical flow, Image processing, Motion estimation, Image segmentation, Image registration, Digital image processing

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When capturing images, traditional imaging devices can only record images with low dynamic range (LDR) and cannot capture scene information with high dynamic range (HDR) in the real world due to their own response characteristics. Therefore, high dynamic range imaging technology has developed rapidly and gradually become a research hotspot in the field of digital image processing. The main problems of current multi-exposure images to generate HDR images include ghosting caused by camera shake and foreground objects moving, and information loss in overexposure and underexposure situations. To solve the ghost problem, the gradient direction histogram descriptor is used to process multi exposure images, and the brightness invariant motion estimation technology based on feature optical flow is used to generate high dynamic range images. The algorithm first selects the well exposed image as the reference image, and uses the gradient direction histogram descriptor which is robust to the illumination change to process the images with different exposure times, then uses the optical flow estimation algorithm to distort the input image to the reference image according to the corresponding relationship between image features ,finally synthesizes the final HDR image according to the weight map .The experimental results show that compared with the existing HDR algorithms, the proposed method has a certain improvement in performance.

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