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Image Noise and Filtering Techniques -A Survey

K. Kanagalakshmi, C. S. Archana


An image is a collection of pixels, which can be acquired from the different types of sources. The heterogeneous image sources have high dense noise, this cause several performance related issues in which the image associated with. So, every application under image processing needs an effective technique to perform noise removal on digital images. Image de-noising is an essential step that should be performed before any image analysis process begins. Image noise reduction involves the manipulation of an image to produce a high quality image. This paper gives a survey on recent techniques of image filters. Finally the merits and demerits of existing techniques are identified from the comprehensive study.

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. Talebi, Hossein, and Peyman Milanfar. "Global image denoising." IEEE Transactions on Image Processing 23, no. 2 (2014): 755-768.

. Kaur, Sukhjinder. "Noise types and various removal techniques." International Journal of Advanced Research in Electronics and Communication Engineering (IJARECE) Volume 4 (2015).

. Vijaykumar, V. R., P. T. Vanathi, and P. Kanagasabapathy. "Fast and efficient algorithm to remove gaussian noise in digital images." IAENG International Journal of Computer Science 37, no. 1 (2010): 300-302.

. Rahman, Tanzila, Mohammad Reduanul Haque, Liton Jude Rozario, and Mohammad Shorif Uddin. "Gaussian noise reduction in digital images using a modified fuzzy filter." In Computer and Information Technology (ICCIT), 2014 17th International Conference on, pp. 217-222. IEEE, 2014.

. Roy, Amarjit, Joyeeta Singha, Salam Shuleenda Devi, and Rabul Hussain Laskar. "Impulse noise removal using SVM classification based fuzzy filter from gray scale images." Signal Processing 128 (2016): 262-273.

. Yang, Jian, Jingfan Fan, Danni Ai, Xuehu Wang, Yongchang Zheng, Songyuan Tang, and Yongtian Wang. "Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image." Neurocomputing 195 (2016): 88-95.

. Singh, Prabhishek, and Raj Shree. "A comparative study to Noise models and Image restoration Techniques." International Journal of Computer Applications 149, no. 1 (2016).

. Thakur, Kirti V., Omkar H. Damodare, and Ashok M. Sapkal. "Poisson Noise Reducing Bilateral Filter." Procedia Computer Science 79 (2016): 861-865.

. Chinnasamy, Gokilavani, and S. Vanitha. "Implementation and Comparison of Various Filters for the Removal of Fractional Brownian Motion noise in Brain MRI Images." IJTET (International Journal for trends in Engineering & Technology), ISSN (2015): 2349-9303.

. Okada, Mami, Tomoe Ishikawa, and Yuji Ikegaya. "A Computationally Efficient Filter for Reducing Shot Noise in Low S/N Data." PloS one 11, no. 6 (2016): e0157595


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