The week's pick
Random Articles
Reseach Article
A Survey on Different Image Deblurring Techniques
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 116 - Number 13 |
| Year of Publication: 2015 |
| Authors: Fagun Vankawala, Amit Ganatra, Amit Patel |
10.5120/20396-2697
|
Fagun Vankawala, Amit Ganatra, Amit Patel . A Survey on Different Image Deblurring Techniques. International Journal of Computer Applications. 116, 13 ( April 2015), 15-18. DOI=10.5120/20396-2697
Abstract
Image blur is general artifacts in digital image processing and it is hard to avoid. Image enhancement or deblurring is necessary to reduce blur amount from the image. Image deblurring is a process used to reduce the blur quantity in a blurred image and make the degraded image into sharpened and clear image. When deblurring images, cause of blurring is very important to increase the effect of the deblurring to get good result. While working with real-time images, we may not have the knowledge of the reason of blurring. There are various sources why image gets blurred like motion blur, camera shake, out of focus blur, etc. This paper carried out performance comparison of different techniques to diminish the effects of above mentioned causes of blurring. The analysis and comparison was conceded out based on types of blur, Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE) and Execution time.
References
- Rohina Ansari,Himanshu Yadav,Anurag Jain," A Survey on Blurred Images with Restoration and Transformation Techniques", International Journal of Computer Applications (0975 – 8887) Volume 68– No. 22, April 2013
- Zohair Al-Ameen, Ghazali Sulong and Md. Gapar Md. Johar," A Comprehensive Study on Fast image Deblurring Techniques", International Journal of Advanced Science and Technology Vol. 44, July, 2012
- Dejee Singh1,Mr R. K. Sahu, "A Survey on Various Image Deblurring Techniques", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 12, December 2013
- Jiunn-Lin Wu, Chia-Feng Chang, Chun-Shih Chen," An Improved Richardson-Lucy Algorithm for Single Image Deblurring Using Local Extrema Filtering", IEEE International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2012) November 4-7, 2012
- A. Bennia and S. M. Riad, "Filtering Capabilities and Convergence of the Van-Cittert Deconvolution Technique", IEEE Transactions on Instrumentation and Measurement, vol. 41, no. 2, 1992
- L. Lang and Y. Xu, "Adaptive Landweber method to deblur images", IEEE Signal Processing Letters, vol. 10, no. 5, 2003
- Hanghang Tong,Mingjing Li, Hongjiang Zhang,Changshui Zhang," Blur Detection for Digital Images Using Wavelet Transform*,"Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on (Volume: 1 ).
- Xue-fen Wan, Yi Yang, Xin Lin," Point Spread Function Estimation For Noisy Out-of-focus Blur Image Restoration", IEEE International Conference on Software Engineering and Service Sciences (ICSESS), 2010
- Ashwini M. Deshpande, Suprava Patnaik "Comparative Study and Qualitative-Quantitative Investigations of Several Motion Deblurring Algorithms", 2nd International Conference and workshop on Emerging Trends in Technology (ICWET) 2011 Proceedings published by International Journal of Computer Applications
- Rupali Yashwant Landge, Rakesh Sharma," Blur Detection Methods for Digital Images-A Survey", International Journal of Computer Applications Technology and Research Volume 2– Issue 4, 495 - 498, 2013
- Dejee Singh1 , Mr R. K. Sahu "A Survey on Various Image Deblurring Techniques", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 12, December 2013
Index Terms
Keywords