Abstract:This paper presents a novel approach to improving object recognition in hazy scenes by combining boundary-constrained dehazing and YOLOv7 architecture. The current approaches encounter challenges in maintaining a trade-off between improving low-lazy images and detecting objects. In order to address this issue, the current study suggests a new method. This novel technique employs hazy images sourced from the RESIDE SOTS dataset and evaluates diverse dehazing methods based on the PSNR and SSIM metrics. The propo… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.