Improving Object Detection Performance Through Selective Low-Light Enhancement | IEEE Conference Publication | IEEE Xplore

Improving Object Detection Performance Through Selective Low-Light Enhancement


Abstract:

This paper proposes a selective low-light enhancement algorithm and integrated NMS (Non-Maximum Suppression) operation to improve the accuracy and performance of object d...Show More

Abstract:

This paper proposes a selective low-light enhancement algorithm and integrated NMS (Non-Maximum Suppression) operation to improve the accuracy and performance of object detection in low-light environments. The method involves selectively enhancing low-light images by applying the CLHAE (Contrast Limited Adaptive Histogram Equalization) algorithm to generate improved images. The improved and original images are then simultaneously fed into the object detection network, and the NMS is applied to remove redundant detections and obtain the final results. The proposed approach is evaluated on the ExDark dataset, demonstrating superior performance compared to existing methods.
Date of Conference: 03-05 September 2023
Date Added to IEEE Xplore: 02 January 2024
ISBN Information:

ISSN Information:

Conference Location: Berlin, Germany

Contact IEEE to Subscribe

References

References is not available for this document.