SupersharpAI refines the blur on an object’s outlines caused by movement, missed focus, or a shaky camera and logically stabilizes the photo. The neural network, at its core, analyses depth, perspective, and the environment of the photo and works out with a compression algorithm. The result is a crisp and naturally sharp photo, just as it was meant to be.

Universal correction: a general sharpening technique applied to an entire image to improve its clarity and sharpness. It aims to restore lost detail and remove any softness in the image caused by camera shake or other factors.

Motion Blur correction: a specialized technique used to sharpen blurred images by camera movement during exposure. It uses advanced algorithms to analyze the blur’s direction and intensity and then applies a correction to restore the image’s original sharpness. This technique can be particularly useful for photos taken while moving, such as while walking or driving, or for photos of fast-moving subjects, like athletes or wildlife.

Low, Middle, and High: determines the sharpening strength applied to the image.

Face EnhancerAI: enhance faces and make them appear clearer and sharper in blurry photos.

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