Abstract
ABSTRACT Backlit images simultaneously include dark as well as light regions of intensity. Objects in dark and low-contrast regions are complex for humans to perceive. In particular, such parts are selected as the image's region of interest (ROI). In backlit images, ROI is typically very dark and of low contrast, which makes visualization difficult. This paper explores and presents an approach for contrast enhancement and preserving the naturalness of the ROI of the backlit image. The proposed methodology considers stretching the contrast and balancing other aspects of the ROI, such as textural details, visibility, etc. In the last stage, a fusion-based approach is carried out to obtain enhanced ROI of the backlit image. It also examines the experimental results of the proposed method using various steps and, based on the validation, confirms that the proposed solution produces better results for the ROI of the backlit image than the other state-of-the-art methods.
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