albrateanu/KANT
[Sensors 2025] Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer Attention
This project helps improve the clarity and brightness of images captured in low-light conditions. You input an image that is underexposed or dark, and it produces a visually enhanced version that is brighter and clearer, making details more visible. It's designed for researchers and developers working on advanced image processing techniques, especially those in computer vision or digital photography.
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Use this if you are a researcher or developer focused on state-of-the-art low-light image enhancement and want to experiment with or build upon a method using Kolmogorov-Arnold Networks and Transformer Attention.
Not ideal if you are an end-user looking for a simple, off-the-shelf application to brighten your photos without any coding or technical setup.
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Python
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Last pushed
May 08, 2025
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