Open AccessEfficient Image Restoration Methods for Image Recovery
Author(s) -
G. Kalpana,
A Kanaka Durga,
G. Karuna
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1430.0982s1119
Subject(s) - image restoration , image (mathematics) , computer vision , computer science , artificial intelligence , frequency domain , process (computing) , image processing , feature detection (computer vision) , image quality , matlab , domain (mathematical analysis) , mathematics , mathematical analysis , operating system
Image Restoration is the one of the significant techniques to process an image. The process of taking a noisy image and obtaining the clean, original image is called as image restoration. This process is applied in every field where images have to be understood and analyzed. Image restoration is a method of recovering an original image from a degraded image. To restore corrupted image into its original form restoration techniques are used. The restoration techniques mainly focused to improve the image quality. Usually image processing techniques are implemented in the two domains, they are frequency domain or spatial domain. This paper mainly focused on different approaches to restoration, variations between frequency domain methods and spatial domain methods. Especially the relation between spatial and frequency resolutions and various filters in spatial and frequency domain. The present work shows the performance of different kinds of filters and these filters are analyzed by implementing and simulating on MATLAB.