Digital Image Denoising Using Histogram and Dynamic Filters
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International Journal of Computer & Organization Trends (IJCOT) | 
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| © 2014 by IJCOT Journal | ||
| Volume - 4 Issue - 1 |
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| Year of Publication : 2014 | ||
| Authors : Kamlesh Dixit , Mohit Khandelwal | ||
| DOI : 10.14445/22492593/IJCOT-V5P301 |
Citation
Kamlesh Dixit , Mohit Khandelwal. "Digital Image Denoising Using Histogram and Dynamic Filters", International Journal of Computer & organization Trends (IJCOT), V4(1):27-30 Jan - Feb 2014, ISSN:2249-2593, www.ijcotjournal.org. Published by Seventh Sense Research Group.
Abstract
Digital Image Denoising is one of the most important and difficult techniques in image research. The aim of image Denoising is to improve the visual appearance of an image, or to provide a “better transform representation for another automated image processing. Many images like medical images, satellite images, aerial images and even real life photographs suffer from poor contrast and noise. It is necessary to enhance the contrast and remove the noise to increase image quality. One of the most important stages in medical images detection and analysis is image Denoising techniques which improves the quality of images for human viewing, removing blurring and noise, increasing contrast, etc.
References
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Keywords
Digital Image Denoising, Histogram, Image filter