Low-light image enhancement

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Low-light image enhancement harnesses artificial intelligence (AI) to transform dim and poorly lit images into visually striking results. To achieve this, AI algorithms intelligently parse through copious amounts of data from thousands of well-exposed and underexposed images to learn the intricate process of brightness, contrast, and color balance adjustment. Throughout this learning process, AI models like generative adversarial networks (GANs) and deep learning neural networks work collaboratively to recreate missing details and enhance textures, presenting vivid and well-lit images without compromising their integrity. This spares photographers the tedious manual editing processes that host potential for increased noise, artifacts, and color distortions. Low-light image enhancement is a game changer for countless applications within the photography industry, ranging from nighttime landscape captures to surveillance systems and autonomous vehicle sensing. By harnessing the power of AI to analyze, restore, and empower visuals, this technology opens unprecedented opportunities for low-light photography experiences.