Image Deconvolution

Image deconvolution is a key technology in computer vision that aims to restore images degraded by factors such as blurring and noise through mathematical operations. Its core objective is to eliminate the convolution effects introduced during the imaging process, thereby recovering the true details and structure of the image. This technique has significant application value in medical imaging, astronomical observations, microscopic imaging, and other fields, as it can substantially improve image quality and diagnostic accuracy.