Efficient Image Restoration Methods for Image Recovery
G. Kalpana1, A. Kanaka Durga2, G.Karuna3

1G. Kalpana, Assistant Professor, Department of Compute Science and Engineering, Vidya Jyothi Institute of Technology, Hyderabad (Telangana), India.
2A. Kanaka Durga, Professor HOD, Department of CSE, IT, Stanley College of Engineering and Technology for Women College, Hyderabad (Telangana), India.
3Dr. G. Karuna, Professor, Department of CSE, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad (Telangana), India.
Manuscript received on 19 October 2019 | Revised Manuscript received on 25 October 2019 | Manuscript Published on 02 November 2019 | PP: 3507-3511 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B14300982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1430.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Keywords: Image Restoration, Filters, Spatial Domain, Frequency Domain.
Scope of the Article: Image analysis and Processing