The week's pick
Reseach Article
An Enhanced Recursive Median Filter for Noise Reduction based on Randomness in Pixel Values of an Image
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 113 - Number 8 |
| Year of Publication: 2015 |
| Authors: Priya Varshney, Anshuman Tyagi |
10.5120/19845-1706
|
Priya Varshney, Anshuman Tyagi . An Enhanced Recursive Median Filter for Noise Reduction based on Randomness in Pixel Values of an Image. International Journal of Computer Applications. 113, 8 ( March 2015), 8-10. DOI=10.5120/19845-1706
Abstract
Noise is a prominent factor which when added in an image reduces its quality. So to enhance the quality of an image, removing noise is required which is an important field of research. Many researchers have proposed various algorithms and compared their result. This paper focuses on removing noise from distorted image using Recursive Median Filter. Recursive Median Filter (RMF) is one of the noise reduction technique used for removing impulse noise. To enhance the performance of RMF using the concept of degree of randomness i. e. Entropy, a novel approach is introduced named as Enhanced Recursive Median Filter (ERMF). In the proposed filter, the size of moving window is changed based on the entropy value of moving window. Result shows that the proposed filter enhance the performance in removing the noise as compared to recursive median filter.
References
- Mr. Rohit Verma and Dr. Jahid Ali, "A Comparative Study of Various Types of Image Noise and Efficient Noise Removal Techniques", Volume 3, IJARCSSE, ISSN: 2277 128X.
- S. Jayaraman, S. Esakkirajan and T. Verakumar, "Digital Image Processing", Tata McGraw Hill, 2009.
- R. C. Gonzalez and R. E. Woods, "Digital Image Processing", Third Edition, Practice Hall, 2008.
- G. Qiu, "An Improved Recursive Median Filtering Scheme for Image Processing", IEEE Transactions on Image Processing vol. 5,no. 4,April 1996.
- J. Ishihara, M. Meguro and N. Hamada, "Adaptive weighted median filter utilizing impulsive noise detection," in Applications of Digital Image Processing '99, Proc SPIE 3808, 406-414 (1999).
- R. K. Brown Rigg, "The weighted median filter", Commun. Assoc. Comput. , pp. 807–818, Mar. 1984.
- Vicky Ambale, Minal Ghute, Kanchan, Kambe and Shilpa Ktre , "Adaptive Median filter for image enhancement", International Journal of Engineering Science and Innovative Technology(IJESIT), vol 2, Issue- 1 , January 2013.
- K. Arakawa, "Median filters based on fuzzy rules and its application to image restoration," Fuzzy Sets Syst. , vol. 77, pp. 3–13, 1996.
- J. King, "A Novel Recursive Algorithm For Detail-Preserving Impulse Noise Removal", Saud University, Vol. 22, Comp. & Info. Sci. , pp. 37-44, Riyadh (1431H. /2010).
Index Terms
Keywords