Overview of Digital Image Restoration

Abstract

Image restoration is an image processing technology with great practical value in the field of computer vision. It is a computer technology that estimates the image information of the damaged area according to the residual image information of the damaged image and carries out automatic repair. This article firstly classify and summarize image restoration algorithms, and describe recent advances in the research respectively from three aspects including image restoration based on partial differential equation, based on the texture of image restoration and based on deep learning, then make the brief analysis of digital image restoration of subjective and objective evaluation method, and briefly summarize application of digital image restoration technique in the future and prospects, provide direction for the research on image after repair.

Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement

“…The phenomenon of noise or blur will greatly reduce the image quality and make some tissue boundaries or fine structures difficult to be identified, thus affecting medical diagnosis 1 . Therefore, it is necessary to effectively remove the noise and restore the blurred region at the same time for the medical image restoration task 2 . In recent years, medical image restoration technology has been widely studied, including MRI denoising, 3 CT image deblurring, 4 and medical image super‐resolution reconstruction 5 .…”

“…1 Therefore, it is necessary to effectively remove the noise and restore the blurred region at the same time for the medical image restoration task. 2 In recent years, medical image restoration technology has been widely studied, including MRI denoising, 3 CT image deblurring, 4 and medical image super-resolution reconstruction. 5 Figure 1 shows the visual difference between a degraded MR image and a restored MR image.…”