Image De-Noising by Enhanced Median Filtering for High Density Noisy Images

  • Vikas Gupta
  • Abhishek Sharma
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 222)


In the field of digital image processing [1], noise removal is always a critical process. In this paper we proposed an enhanced method of image de-noising. The purpose of this new method is to improve the signal to noise ratio (SNR) of de-noised image and get more better image, especially when image corrupted by high noise density. We improved the median filter algorithm, and get comparatively better results than previous methods. The mathematical analysis shows that this process improve the PSNR [2](Peak signal to noise ratio) at high density noise level. It also reduces the complexity of calculation because noise detection and noise removal both processes are performing simultaneously. This method produce better image without blurring and also preserve the edge and fine details of image.


Median filter Threshold Peak signal to noise ratio Mean square error High density noise 


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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.Department of Electronics and CommunicationTechnocrats institute of technologyBhopalIndia

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