Severoglu, N.Demir, Y.Kaplan, N. H.Kucuk, S.2026-03-262026-03-2620251047-32031095-907610.1016/j.jvcir.2025.1044022-s2.0-85217035772https://doi.org/10.1016/j.jvcir.2025.104402https://hdl.handle.net/20.500.14901/2673Kaplan, Nur Hüseyin/0000-0002-4740-3259; Demir, Yasin/0000-0002-0834-2780; Severoglu, Nagihan/0000-0002-3524-2566;Capturing high-quality images becomes challenging in low-light conditions, often resulting in underexposed and blurry images. Only a few works can address these problems simultaneously. This paper presents a low- light image enhancement scheme based on the Y-I-Q transform and bilateral filter in least squares, named ACGC. The method involves applying a pre-correction to the input image, followed by the Y-I-Q transform. The obtained Y component is separated into its low and high-frequency layers. Local gamma correction is applied to the low-frequency layers, followed by contrast limited adaptive histogram equalization (CLAHE), and these layers are added up to produce an enhanced Y component. The remaining I and Q components are also enhanced with local gamma correction to provide images with amore natural color. Finally, the inverse Y-I-Q transform is employed to create the enhanced image. The experimental results demonstrate that the proposed approach yields superior visual quality and more natural colors compared to the state-of-the-art methods.eninfo:eu-repo/semantics/closedAccessLow-Light EnhancementBilateral FiltersLeast SquaresY-I-Q TransformArticle