An Adaptive Method to Recover High Dynamic Range Images from Multi-camera Systems in Back-Lighting Scenario An Adaptive Method to Recover

• Published in: Wireless personal communications Vol. 139; no. 4; pp. 1939 - 1960
• Main Authors: Abedi, Firas, Yang, You, Liu, Qiong
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2024
• Subjects: Communications Engineering; Computer Communication Networks; Engineering; Networks; Signal,Image and Speech Processing; Multi-view; Multi-camera; Low dynamic range; High dynamic range; Image reconstruction
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-024-11691-2

The reconstruction of multi-view high dynamic range images faces several challenges, including holes and artifact in the disparity map in non-linear and large baseline between the involved cameras. Furthermore, these challenges increased when a back-lighting scenario is involved, with the currently industrial growth. To dispense the disparity map estimation and it’s related challenges, and generate back-lighting multi-view high dynamic range images, we propose a method that relays on accurately detected and matched features between the adjustment viewpoints instead of the estimation of the disparity map, thus providing a flexibility on the camera baseline. Next, we estimate exposure gain between the matched features. After that, we restore the multi-view low dynamic range images based on the estimated gain, and generate a final high dynamic range image per view. Experimental results demonstrate superior performance for the proposed method over state-of-the-art methods in both objective and subject comparisons. These results suggest that our method is suitable to improve the visual quality of multi-view low dynamic range images captured in low back-lighting conditions via commercial cameras sparsely located among each other in any general public infrastructure.