Open AccessAdvance in Image and Audio Restoration and their Assessments: A Review
Author(s) -
Omar H. Mohammed,
Basil Sh. Mahmood
Publication year - 2021
Publication title -
international journal of computer science and engineering survey
Language(s) - English
Resource type - Journals
eISSN - 0976-3252
pISSN - 0976-2760
DOI - 10.5121/ijcses.2021.12201
Subject(s) - image restoration , computer science , impulse noise , gaussian noise , computer vision , noise (video) , artificial intelligence , gaussian blur , image (mathematics) , focus (optics) , image noise , motion blur , process (computing) , image processing , pixel , physics , optics , operating system
Image restoration is the process of restoring the original image from a degraded one. Images can be affected by various types of noise, such as Gaussian noise, impulse noise, and affected by blurring, which is happened during image recordings like motion blur, Out-of-Focus Blur, and others. Image restoration techniques are used to reverse the effect of noise and blurring. Restoration of distorted images can be done using some information about noise and the blurring nature or without any knowledge about the image degradation process. Researchers have proposed many algorithms in this regard; in this paper, different noise and degradation models and restoration methods will be discussed and review some researches in this field.