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Review Papers | Electronics & Communication Engineering | India | Volume 4 Issue 2, February 2015 | Popularity: 6.7 / 10
Study of Denoising Algorithms - Review Paper
Vaishali V. Thorat
Abstract: Image De-noising has remained a fundamental problem in the field of image processing. To reducing noise from the original signal is still a challenging for researchers. There are several algorithms and methods each having assumptions, advantages, and disadvantages. Noise can be introduced by transmission errors and compression This paper presents a review of some significant work in the area of image de-noising. After a brief introduction, some popular approaches are classified. An overview of various algorithms and methods is provided. In this paper Thus, de-noising is often a necessary and the step to be taken before the images data is analyzed. It is necessary to apply an beneficial de-noising technique to compensate for such data corruption future trends in the area of de-noising are also discussed
Keywords: Image Noise removal, Spatial Filters, linear Filters, Gaussian noise
Edition: Volume 4 Issue 2, February 2015
Pages: 581 - 587
Make Sure to Disable the Pop-Up Blocker of Web Browser
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Electronics & Communication Engineering, India, Volume 3 Issue 7, July 2014
Pages: 1810 - 1814Implementation of Door Control System Using Ladder Language
Ritu Phogat, Lokeshwar
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Electronics & Communication Engineering, India, Volume 9 Issue 1, January 2020
Pages: 240 - 242Blind Assist Stick Using Microcontroller
Pushkaraj Prakash Jayashree Gharat, Shamal Dnyaneshwar Manisha Pawar, Abhishek S. Dani
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Electronics & Communication Engineering, Sudan, Volume 4 Issue 12, December 2015
Pages: 1 - 4A Comparison between Li-Fi, Wi-Fi, and Ethernet Standards
Wafa S. M. Elbasher, Amin B. A. Mustafa, Ashraf A. Osman
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Electronics & Communication Engineering, India, Volume 3 Issue 1, January 2014
Pages: 225 - 228Nanotechnology: Green Innovation
Jyoti M Gadekar, Kiran D Kadam
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Electronics & Communication Engineering, India, Volume 3 Issue 12, December 2014
Pages: 162 - 164LiDAR Mapping: A Remote Sensing Technology
Rucha Ratnakar Sarwadnya, Moresh Mukhedkar