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Comparing performance measures of sparse representation on image restoration algorithms
Joint Authors
Sakthivel, Subramaniam
Marimuthu, Parameswari
Vinothaa, Natarajan
Source
The International Arab Journal of Information Technology
Issue
Vol. 13, Issue 6A(s) (31 Dec. 2016), pp.801-806, 6 p.
Publisher
Publication Date
2016-12-31
Country of Publication
Jordan
No. of Pages
6
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Abstract EN
Image restoration is a systematic process that regains the lost clarity of an image.
In the past, image restoration based on sparse representation has resulted in better performance for natural images.
Within each category of image restoration such as de-blurring, de-noising and super resolution, different algorithms are selected for evaluation and comparison.
It is evident that both local and non-local methods within each algorithm can produce improved image restoration results based on the over complete representations using learned dictionary.
The Gaussian noise is added with the original image and comparative study is made from the three different de-noising techniques such as mean filter, Least Mean Square (LMS) adaptive filters and median filters.
The experimental results arrived from the filters are discussed for each model of the selected image restoration algorithms-locally adaptive sparsity and regularization, Centralized Sparse Representation (CSR), low-rank approximation structured sparse representation and non-locally CSR.
A comprehensive study of this paper would serve as a good reference and stimulate new research ideas in Image Restoration (IR).
American Psychological Association (APA)
Sakthivel, Subramaniam& Marimuthu, Parameswari& Vinothaa, Natarajan. 2016. Comparing performance measures of sparse representation on image restoration algorithms. The International Arab Journal of Information Technology،Vol. 13, no. 6A(s), pp.801-806.
https://search.emarefa.net/detail/BIM-792111
Modern Language Association (MLA)
Sakthivel, Subramaniam…[et al.]. Comparing performance measures of sparse representation on image restoration algorithms. The International Arab Journal of Information Technology Vol. 13, no. 6A (Special issue) (Dec. 2016), pp.801-806.
https://search.emarefa.net/detail/BIM-792111
American Medical Association (AMA)
Sakthivel, Subramaniam& Marimuthu, Parameswari& Vinothaa, Natarajan. Comparing performance measures of sparse representation on image restoration algorithms. The International Arab Journal of Information Technology. 2016. Vol. 13, no. 6A(s), pp.801-806.
https://search.emarefa.net/detail/BIM-792111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 805-806
Record ID
BIM-792111