Reethika A, Department of Electronics and Communication Engineering, KPR Institute of Technology, Coimbatore, India
Vithya R, Department of Electronics and Communication Engineering, Dhirajlal Gandhi College of Technology, Salem, India
Kanivarshini S, Senior Software Engineer, HCL Pvt. Limited, India
Krishnakumar S, Department of Electronics and Instrumentation Engineering, Bannari Amman Institute of Technology, Erode, India
Priyadharshini A, Department of Electronics and Communication Engineering, Vivekanandha college of Technology for Women, Salem, India
Online First : 30 December 2020
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-0-7
Online ISBN : 978-81-950008-1-4
Page :411-414
Abstract
An image deburring algorithm consists of rich edge area mining with a gray-level co-occurring matrix and elastic net regularisation is proposed in this paper. First, the luminance channel of an image is removed from the blurred image. The frequency layer is high that can be derived from the blurred image by converting the 2D haar wavelet in the luminance channel. By the way, measurements were made using area and the richest edge region information is then collected. Finally, the extracted rich edge field, instead full motion blurred image, approximate the blur kernel elastic net regularisation and the image is returned. A measurement of image mechanism and running time measures the proposed system. Result suggested to recommended strategy would improve efficiency and ensure continuity in recovery.
Keywords
Elastic net regularization, restoration, blurred image.
Cite this article
Reethika A, Vithya R, Kanivarshini S, Krishnakumar S and Priyadharshini A, “Deblurring of Motion Blurred Images Using GLCM and Elastic Net Regularization”, Innovations in Information and Communication Technology, pp. 411-414, December 2020.
Copyright
© 2020 Reethika A, Vithya R, Kanivarshini S, Krishnakumar S and Priyadharshini A. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
