This paper is published in Volume-4, Issue-4, 2018
Area
Computer Science Engineering
Author
Ajay
Co-authors
Tarun Dalal
Org/Univ
CBS Group of Institution, Jhajjar, Haryana, India
Pub. Date
17 July, 2018
Paper ID
V4I4-1220
Publisher
Keywords
PSNR, MSE, IEF, Probability Density factor, Quantization, Pixel, Denoise

Citationsacebook

IEEE
Ajay, Tarun Dalal. An effective approach for extracting noise from digital image and real-time data using filtering technique: Review paper, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Ajay, Tarun Dalal (2018). An effective approach for extracting noise from digital image and real-time data using filtering technique: Review paper. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Ajay, Tarun Dalal. "An effective approach for extracting noise from digital image and real-time data using filtering technique: Review paper." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

As we know there is a huge development in image processing with time and latest technology play a very vital role in solving a various problem in so many filed like medical, satellite, control and many more. Pixel is the smallest element which helps to form an image. In this review article, we found that there are various types of images exist in various formats. After that, we studied various types of a filter because these filters help us to fetch out noise from images. Diverse types of noises occurred from acquisition to recognition in an image and to remove them various filters are available and every filter is having own advantage and limitations and suitable for particular types of noise which it can remove efficiently. In our research work, our main target is to fetch out salt and pepper noise. In this article, we studied various types of noises and various types of filter in details from a deep study of various research papers. Our dissertation work will be to fetch out SPN form an image, therefore, a detailed study of the median filter and its extension is carried out. To meet the requirement to expectation three parameters will be calculated PSNR, MSE, and IEF. Noise is random in nature and it can be mixed with an image anywhere therefore diverse noise models were studied deeply.
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