Image enhancement algorithms are computational techniques used to improve the visual quality of images by adjusting various attributes such as brightness, contrast, sharpness, and color balance. These algorithms help to extract relevant features from images captured by cameras, making them more suitable for analysis in applications like computer vision and autonomous vehicle systems. The goal is to enhance image clarity and details, which is crucial for tasks such as object recognition, navigation, and scene interpretation.
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