IEEE Style Citation: Mary Sruthy Pious , M.Azath, “Study on Noise and Its Removal Techniques,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.46-50, 2015.
MLA Style Citation: Mary Sruthy Pious , M.Azath "Study on Noise and Its Removal Techniques." International Journal of Computer Sciences and Engineering 3.3 (2015): 46-50.
APA Style Citation: Mary Sruthy Pious , M.Azath, (2015). Study on Noise and Its Removal Techniques. International Journal of Computer Sciences and Engineering, 3(3), 46-50.
BibTex Style Citation:
@article{Pious_2015,
author = {Mary Sruthy Pious , M.Azath},
title = {Study on Noise and Its Removal Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {46-50},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=418},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=418
TI - Study on Noise and Its Removal Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Mary Sruthy Pious , M.Azath
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 46-50
IS - 3
VL - 3
SN - 2347-2693
ER -
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Abstract
Removal of noise is an essential and challengeable operation in image processing. Before performing any process in the image, it must be first restored. Images may be corrupted by noise during image acquisition and transmission. Nature of the noise removal depends upon the type of the noise corrupting the image. In an image there will be different type of noises like impulse noise, adaptive white Gaussian noise, short noise, quantization noise, film grain, these one or more are coupled together to form a mixed noise. To remove this type of noise there is a novel method comprises two stages: the first stage is to detect the noise in the image. In this stage, based on the intensity, the pixels are roughly divided into “noise-free pixel” and “noisy pixel”. Then, in the second stage it is to eliminate the noise from the image. In this, only the “noise-pixels” are processed. The “noise free pixels” are copied directly to the output image. The survey aims to study the different types of noises and noise removal techniques of an image.
[1] http://en.wikipedia.org/wiki/Image_noise
[2] “A Comparative Study of Various Types of Image Noise and Efficient Noise Removal Technique”s by Mr. Rohit Verma and Dr. Jahid International Journal of Advanced Research in Computer Science and Software Engineering
[3] “Survey of Image Denoising Techniques”By Mukesh C. Motwani ,Mukesh C. Gadiya, Rakhi C. Motwani and Frederick C. Harris, Jr.
[4] “Comparative Analysis of Various Image Denoising Techniques: A Review Paper” by Manoj Gabhel, Aashish Hiradhar International Journal of Science and Research (IJSR)
[5]” Image Denoising Techniques-An Overview” by Rajni and Anutam International Journal of Computer Applications (0975 – 8887)
[6] “A Survey on Image Noises and Denoise Techniques” by Toran Lal Sahu International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
Volume 1, Issue 9, November 2012
[7] “Mixed Noise Removal by Weighted Encoding with Sparse Nonlocal Regularization” by Jielin Jiang, Lei Zhang, and Jian Yang, Image Processing, IEEE Transactions on
[8] http://in.mathworks.com/help/images/noise-removal.
[9] “A Survey of Linear and Non-Linear Filters for Noise Reduction” by Pragati Agrawal, Jayendra Singh Verma International Journal of Advance Research in Computer Science and Management Studies.
[10] “Digital Image Segmentation Using Median Filtering and Morphological Approach” by Pinaki Pratim Acharjya, Soumya Mukherjee, Dibyendu Ghoshal International Journal of Advanced Research in Computer Science and Software Engineering
[11] “Image Denoising Techniques- A Review paper” by Kanika Gupta, S.K Gupta International Journal of Innovative Technology and Exploring Engineering
[12] http://en.wikipedia.org/wiki/Noise_reduction#Removal
[13] “Survey on Noise Removal in Digital Images” by B.Mohd. Jabarullah, Sandeep Saxena, Dr. C. Nelson Kennedy Babu IOSR Journal of Computer Engineering
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