Digital Image Denoising Using Histogram and Dynamic Filters

  IJCOT-book-cover
 
International Journal of Computer & Organization Trends (IJCOT)          
 
© 2014 by IJCOT Journal
Volume - 4 Issue - 1
Year of Publication : 2014
Authors : Kamlesh Dixit , Mohit Khandelwal
  10.14445/22492593/IJCOT-V5P301

MLA

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.

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Keywords—Digital Image Denoising, Histogram, Image filter