This survey explores the evolution of image enhancement techniques, focusing on deep learning models that significantly improve visual quality. It examines current approaches such as CNN-based reconstruction, noise removal, color enhancement, and super-resolution, while also highlighting emerging methods driven by generative AI and transformer architectures. The study discusses challenges like computational complexity and artifact reduction, providing insights into how modern image enhancement supports fields such as photography, security imaging, and medical diagnostics.
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Information Fusion (SCI)
2022
https://www.sciencedirect.com/science/article/pii/S156625352200138X