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A number of factors can cause photographs to deteriorate over time, losing their clarity and aesthetic appeal. The goal of this research is to help restore priceless memories because images act as memory triggers and better image quality can increase clarity and visual comfort. This research is important because it may aid in the recovery and preservation of special memories that were captured in damaged photos. Restoring an image's visual quality has the power to arouse feelings and create closer ties to the past.AI has made great progress in several areas in the recent past. However, questions concerning the veracity and authenticity of visual content have been raised due to the possibility of false information and the spread of deepfakes. We set out to create an automated system that could accurately distinguish between photographs taken by hand and images created by artificial intelligence as a solution to this problem. Furthermore, there are some useful advantages to improving image quality, including better vitality, higher clarity, and less eye strain when viewing the restored photos. All things considered, this study shows how deep learning using GANs works well for image restoration, emphasising its usefulness in retrieving priceless memories and improving visual content for wider uses. The findings of this study demonstrate the potential benefits that AI-driven image restoration methods could have on our daily interactions with visual information in the digital age as well as our personal life.
Shoaib et al. (Sat,) studied this question.