Hi, I hope you are well. I am currently working on a small problem relating to reproducing the characteristics of some image. I have a set of low-brightness images, and I want to reproduce the same characteristics (low brightness) using existing bright images. To do this, I’ve tried calculating certain parameters such as mean_brightness, median_brightness, standard brightness, exposure_ratio, gamma_estimate, dark_pixel_ratio, bright_pixel_ratio and entropy, which I’ve saved in a JSON file for each image. I then wrote a script that analyses the contents of the file and replicates the conditions on my set of bright images. Unfortunately, however, the results I’m getting are not similar to those in my set of low-brightness images. I’d like to know what strategy can I should adopt to achieve a similar reproduction.
Bellow are some low light images (source: Low-Light Image Enhancement Dataset)
and clear image from visdrone Task 1 dataset (GitHub - VisDrone/VisDrone-Dataset: The dataset for drone based detection and tracking is released, including both image/video, and annotations. · GitHub)
