References
[1]. Amudha, J., & Sudhakar, R. (2013). Restoration of
digital image affected by salt and pepper noise.
International Journal of Advance Research in Science
and Engineering (IJARSE), 2(6), 12-18.
[2]. Bhanu, M. A., Nelapati, G., & Sivaram, R. (2012). Salt
and Pepper Noise Detection and removal by Modified
Decision based Unsymmetrical Trimmed Median Filter for
Image Restoration. International Journal of Advanced
Trends in Computer Science and Engineering, 1(3), 93-97.
[3]. Bhonsle, D., Chandra, V., & Sinha, G. R. (2012).
Medical image denoising using bilateral filter.
International Journal of Image, Graphics and Signal
Processing, 4(6), 36-43.
[4]. Bilcu, R. C., & Vehvilainen, M. (2005, May). New
method for noise estimation in images. In Nonlinear
Signal and Image Processing, 2005. NSIP 2005.
Abstracts. IEEE-Eurasip (p. 25). IEEE.
[5]. Chayapathi, V., Sharath, B., & Anitha, G. S. (2013).
Improvement of Image Quality by Adding White Gaussian
Noise. International Journal of Advanced Research in
Electrical, Electronics and Instrumentation Engineering,
2(10), 4863-4870.
[6]. Esakkirajan, S., Veerakumar, T., Subramanyam, A. N.,
& PremChand, C. H. (2011). Removal of high density salt
and pepper noise through modified decision based
unsymmetric trimmed median filter. IEEE Signal
Processing Letters, 18(5), 287-290.
[7]. Kadam, R. R., & Biradar, M. S. (2014). Removal of Salt
and Pepper Noise through Unsymmetric Trimmed Median
Filter. International Journal of Advanced Networking and
Applications, 5(4), 1987-1989.
[8]. Li, T., Dang, X., & Xu, F. (2013). Estimation of Salt-
Pepper Noise in Images Using Joint Entropy. International
Journal of Engineering Practical Research, 2(4), 205-207.
[9]. Malviya, S., & Ahmia, H. (2014). Image enhancement
using improved mean filter at low and high noise density.
International Journal of Emerging Engineering Research
and Technology, 2(3), 45-52.
[10]. Mikolajczak, G., & Peksinski, J. (2016, June).
Estimation of the variance of noise in digital images using
a median filter. In Telecommunications and Signal
th Processing (TSP), 2016 39 International Conference on
(pp. 489-492). IEEE.
[11]. Narayanan, S. A., Arumugam, G., & Bijlani, K.
(2013). Trimmed median filters for salt and pepper noise
removal. International Journal of Emerging Trends &
Technology in Computer Science (IJETTCS), 2(1), 35-40.
[12]. Pei, Z., Tong, Q., Wang, L., & Zhang, J. (2010, July). A
median filter method for image noise variance
estimation. In Information Technology and Computer
Science (ITCS), 2010 Second International Conference
on (pp. 13-16). IEEE.
[13]. Rutuja, K. N., & Bhaskar, P. C. (2013). Implementation
of Decision Based Algorithm for Median Filter to Extract
Impulse Noise. Internat. J. of Adv. Res. in Electr., Electron.
a. Instrum. Engng, 2(6), 2507-2512.
[14]. Savant, R. V., & Pradhan, D. (2016, March).
Estimation of noise parameters for captured image. In
Engineering and Technology (ICETECH), 2016 IEEE
International Conference on (pp. 1029-1033). IEEE.
[15]. Telepatil, A. R., Patil, S. A., & Parama, V. P. (2013). A
survey on median filters for removal of high density salt &
pepper noise in noisy image. IOSR Journal of Electronics
and communication Engineering (IOSR-JECE), 1, 22-26.
[16]. Tiwari, A., & Bhonsle, D. (2016). Estimation and
Reduction of Gaussian Noise and High-Density Salt And
Pepper Noise through Modified Decision based Trimmed
Median and Gaussian Filter using Matlab. i-manager's Journal on Pattern Recognition, 3(3), 24-31.
[17]. Tiwari, S., Bansiya, A., & Paul, R. K. (2014).
Comparative Performance Analysis of SALT and PEPPER
Noise Removal. IOSR Journal of Computer Engineering,
16(4), 65-71.
[18]. Vadlamudi, S., D. Rajendra Prasad, D. R., &
Chakravarthy, P. S. (2016). Removal of High Density Salt
and Pepper Noise through Modified Decision based
Unsymmetric Trimmed Median Filter. International Journal
of Agriculture Innovations and Research, 360-364.
