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The purpose of the review paper is to provide a comprehensive evaluation of the existing methods for converting nighttime images into their corresponding daytime versions. To this end, we discuss the older approaches such as enhancement, equalization, and transfer of color, and compare them with the state-of-the-art success of GANs designed and tuned specifically for this transformation. By some key criteria, including the quality of an image, computational efficiency, and robustness against varying lighting conditions, we compare these approaches, making clear their relative merits and drawbacks to researchers and practitioners who build applications in computer vision and image processing. In addition, we discussed areas of research gaps and future directions for improvement of night-to-day image conversion techniques in order to contribute toward the development of more effective and reliable methods for improving visual quality in nighttime images.

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Transformative Techniques Using Generative AI: A Review of Traditional and GAN Models Used for Media Conversion

  • 会议论文

  • 发表日期：

    2026年

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  • Ayush Bhatt,
  • Vivek Kumar,
  • Ibrar Ahmed

摘要

The purpose of the review paper is to provide a comprehensive evaluation of the existing methods for converting nighttime images into their corresponding daytime versions. To this end, we discuss the older approaches such as enhancement, equalization, and transfer of color, and compare them with the state-of-the-art success of GANs designed and tuned specifically for this transformation. By some key criteria, including the quality of an image, computational efficiency, and robustness against varying lighting conditions, we compare these approaches, making clear their relative merits and drawbacks to researchers and practitioners who build applications in computer vision and image processing. In addition, we discussed areas of research gaps and future directions for improvement of night-to-day image conversion techniques in order to contribute toward the development of more effective and reliable methods for improving visual quality in nighttime images.