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To cope with the challenges that low light conditions produce in images,photographers tend to use the light provided by the camera flash to get betterillumination. Nevertheless, harsh shadows and non-uniform illumination canarise from using a camera flash, especially in low light conditions. Previousstudies have focused on normalizing the lighting on flash images; however, tothe best of our knowledge, no prior studies have examined the sideways shadowsremoval, reconstruction of overexposed areas, and the generation of syntheticambient shadows or natural tone of scene objects. To provide more naturalillumination on flash images and ensure high-frequency details, we propose agenerative adversarial network in a guided conditional mode. We show that thisapproach not only generates natural illumination but also attenuates harshshadows, simultaneously generating synthetic ambient shadows. Our approachachieves promising results on a custom FAID dataset, outperforming our baselinestudies. We also analyze the components of our proposal and how they affect theoverall performance and discuss the opportunities for future work.

Ambient Lighting Generation for Flash Images with Guided Conditional Adversarial Networks