Image Restoration & Enhancement

Image restoration and enhancement are two techniques used in computer vision AI to improve the quality of digital images. Image restoration is the process of recovering a degraded image to its original state, while image enhancement involves improving an image’s visual quality without altering its content. These techniques can be applied to a wide range of image-processing tasks, such as denoising, deblurring, and color correction.

In AI, image restoration and enhancement techniques can be used to improve the accuracy and reliability of computer vision systems. By enhancing the quality of input images, machine learning algorithms can better detect and recognize objects, faces, and other visual features. Additionally, image restoration techniques can help overcome challenges such as poor lighting or low-resolution images, which can hinder the performance of computer vision systems. Overall, image restoration and enhancement are essential techniques in computer vision AI that can significantly improve the accuracy and performance of machine learning algorithms.