Multi exposure image motion estimation based on improved optical flow

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

doi:10.1117/12.2648115

23 January 2023 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, AOPC 2022: Optical Sensing, Imaging, and Display Technology; 125570R (2023) https://doi.org/10.1117/12.2648115
Event: Applied Optics and Photonics China 2022 (AOPC2022), 2022, Beijing, China

Abstract

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.

Citation Download Citation

Bao-hai Cong, Ting-hua Zhang, Ying-chun Li, and Lei-yuan Tian "Multi exposure image motion estimation based on improved optical flow", Proc. SPIE 12557, AOPC 2022: Optical Sensing, Imaging, and Display Technology, 125570R (23 January 2023); https://doi.org/10.1117/12.2648115

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KEYWORDS

Image fusion

High dynamic range imaging

Cameras

Image quality

Image processing

Optical flow

Motion estimation

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