A Comprehensive Study on a Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction

The authors introduce CPGA-Net, a novel approach that combines traditional techniques with deep learning to enhance low-light images efficiently. By achieving state-of-the-art performance with fewer parameters, the study highlights the effectiveness of this approach in image enhancement.