This paper is published in Volume-2, Issue-3, 2016
Area
Electronics and Communication Engineering
Author
Indu Kharb, Abhishek Sharma
Org/Univ
Maharishi Markandeshwar University, Mullana, Haryana, India
Pub. Date
17 June, 2016
Paper ID
V2I3-1173
Publisher

Citationsacebook

IEEE
Indu Kharb, Abhishek Sharma. A Novel Hybrid Classification Technique for Blur Detection, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Indu Kharb, Abhishek Sharma (2016). A Novel Hybrid Classification Technique for Blur Detection. International Journal of Advance Research, Ideas and Innovations in Technology, 2(3) www.IJARIIT.com.

MLA
Indu Kharb, Abhishek Sharma. "A Novel Hybrid Classification Technique for Blur Detection." International Journal of Advance Research, Ideas and Innovations in Technology 2.3 (2016). www.IJARIIT.com.

Abstract

Image, audio and video are the popular entertainment and communication services of internet. Sometime they suffer from many problems, Blur is one of them. Blur is a factor that breakdown the status of image. In this paper, we are going to perform comparison of four different Blur Detection classifiers. This paper introduces our proposed technique (Hybrid Classifier). To verify the accuracy of hybrid Classifier we collect 1000 images from internet and hence results are predicted. From result and discussion, it is clear that Proposed Classifier give 96% accuracy which is 10% more than existing Classifier (SVM).
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