Open AccessTechniques in De-Blurring Image
Author(s) -
Rasha Muthana,
Assad Noori Hashim Al-Shareefi
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1530/1/012115
Subject(s) - deblurring , gaussian blur , motion blur , computer vision , artificial intelligence , image restoration , computer science , noise (video) , image (mathematics) , image quality , dark frame subtraction , image noise , image processing
Images nowadays are an integral part of our lives, whether in scientific applications or social networks and where there is an image, the concept of image blurring may occur. Blurred is a major cause of image degradation and reduces image quality. Blur occurs due to air noise as well as incorrect camera setup. Along with the blur effects, the noise also spoils the captured image. Deblurring is the operation for removing blur or noise and restoring the underlying high-quality image. Blur can be different types like Motion Blur, Gaussian Blur, and Average Blur.