GLOBAL HISTOGRAM STRETCHING FOR LOW LIGHT IMAGE ENHANCEMENT WITH LOW LIGHT NETWORKS

Author(s)	Ms. Joy Poulomy Pendyala, Mr. BalaKrishna Maruthiram K
Country	India
Abstract	Images captured under low- light conditions frequently suffer from poor visibility due to inadequate lighting. Low- light image improvement is a image processing fashion aimed at converting low- light images into visually natural, normal- light images. LLIE focuses on three primary tasks minimizing noise and vestiges, maintaining edges and textures, and restoring natural brilliance and colors. Lately, numerous studies have explored deep literacy approaches, which deliver emotional results. Still, a crucial challenge with these styles is their long conclusion time caused by complex network infrastructures. To address the trade- off of performance and processing speed, we do a simple yet effective design. Our approach incorporates Relative Global Histogram Stretching, a fashion that improves image discrepancy by conforming intensity values to span a target range. Results shown that the proposed system gets superior performance while immolation briskly conclusion compared to traditional LLIE (Low Light Image Enhancement) ways
Keywords	LLIE – Low Light Image Enhancement RGHS – Relative Global Histogram Stretching HE – Histogram Equalization
Field	Computer Applications
Published In	Volume 16, Issue 3, July-September 2025
Published On	2025-09-02

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