Image deblurring method

Abstract

The invention discloses an image deblurring method. The method comprises the following three effective steps of: denoising a blurred image by utilizing an anisotropic diffusion rule to obtain a smooth image; performing edge enhancement on the smooth image by utilizing shock filtering to obtain a sharpened image; and comparing the sharpened image and the blurred image to obtain the jitter track ofthe blurred image, and performing standard Wiener filtering by utilizing the jitter track of the blurred image and the blurred image to obtain a sharp image. By combining anisotropic diffusion rule-based smoothing operation and sharpening operation using the shock filtering, noise can be removed and simultaneously an image edge is enhanced to the maximum extent, a rapid estimation method with an arbitrary-order penalty term is adopted in a subsequent jitter track solving process, and Fourier transform is combined for acceleration, so that the solving speed is remarkably improved.

Description

technical field [0001] The invention belongs to the field of computer digital image processing, and relates to an image blur elimination method caused by shaking in the image collection process. Background technique [0002] Digital image processing originated in the 1920s. After nearly a century of development, it has become a basic research object in many fields such as information science, biology, and medicine. With the advent of the information age, digital image processing has been widely used in computer vision, machine learning, artificial intelligence and other fields, and its importance has become increasingly prominent. Regrettably, in the process of digital image acquisition, the acquisition device will produce unavoidable slight jitter at the moment the shutter is opened. This jitter often makes us only get an image with blurred details, especially in the light In less-than-ideal conditions, longer shutter times can result in more blurred images. Such fuzzy im...

AI Technical Summary

Problems solved by technology

Regrettably, in the process of digital image acquisition, the acquisition device will produce unavoidable slight jitter at the moment the shutter is opened. This jitter often makes us only get an image with blurred details, especially in the light In less than ideal conditions, longer shutter times make images more blurred

Such fuzzy images have brought great troubles to human vision, and at the same time lost a lot of detailed information, which cannot be applied in daily life and scientific research activities

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