Earticle

초록

영어

Image deblurring refers to procedures that attempt to reduce the blur amount in a blurry image and grant the degraded image an overall sharpened appearance to obtain a clearer image. The point spread function (PSF) is one of the essential factors that needed to be calculated, since it will be employed with different types of deblurring algorithms. In this paper, the authors studied various fast deblurring techniques like Richardson – Lucy and its optimized version, Van Cittert and its enhanced version, Landweber, Poisson Map, and Laplacian sharpening filters. Furthermore, altered optimized versions of Landweber and Poisson Map algorithms have been presented. The usage of the PSF in the deblurring algorithm is explained and a comparison between the optimized, the enhanced algorithms and Laplacian sharpening filters in terms of the number of mathematical operations, number of iterations employed, computation time, deblurring in case of noise existence, and the accuracy measurement using peak signal to noise ratio (PSNR) for each technique is conducted.

목차

Abstract
 1. Introduction
 2. Fast Deblurring Techniques
  2.1. Iterative Van Cittert Algorithm
  2.2. Iterative Landweber Algorithm
  2.3. Iterative Richardson-Lucy Algorithm
  2.4. Iterative Poisson Map Algorithm
  2.5. Laplacian Sharpening Filters
 3. Type of Point Spread Function (PSF)
 4. Experimental Results
 5. Peak Signal to Noise Ratio (PSNR)
 6. Comparison
 7. Discussion
 8. Conclusion
 References

키워드

Image deblurring techniques blur image degradations point spread function (PSF) image restoration iterative techniques optimized algorithms Van Cittert Landweber Richardson-Lucy Poisson Map Laplacian Sharpening Filters PSNR MSE and Gaussian PSF

저자

• Zohair Al-Ameen [ Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM), Faculty of Information Sciences and Engineering, Management and Science University (MSU) ]
• Ghazali Sulong [ Faculty of Computer Science and Information System, Universiti Teknologi Malaysia (UTM) ]
• Md. Gapar Md. Johar [ Faculty of Information Sciences and Engineering, Management and Science University (MSU) ]

참고문헌

발행기관

간행물