Video Image Filtering Technique A Review

Video Image Filtering Technique - A Review

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-46 Number-3
Year of Publication : 2017
Authors : Ajitha J.M, Dr.R.KavithaJabaMalar
DOI :  10.14445/22315381/IJETT-V46P227

Citation 

Ajitha J.M, Dr.R.KavithaJabaMalar "Video Image Filtering Technique - A Review", International Journal of Engineering Trends and Technology (IJETT), V46(3),159-161 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Image cleaning processes are applied on images to remove the different types of noise that are equally present in the image during capturing or introduced into the image during diffusion. The salt &pepper noise is the one type of noise which is happened during transmission of the images or due to bit errors or late pixels in the image substances. The images are unclear due to object movement or camera dislocation when we capture the image. If the image is cornered convert it in the gravy scale image. Convert the image to double for better accuracy. Find the median by sorting all the values of the 3*3mask in growing order. Remove the centre pixel value with the median value. Compute the Signal to Noise ratio. De convolution function is used to filter the image. This Advanced filter is the grouping of Median and Weiner filter. When we arrange these two filters in series we get the anticipated output.

 References

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[4]. R.Pushpavalli and E.Srinivavsan, “ Multiple Decision Based Switching Median Filtering for Eliminating Impulse Noise with Edge and Fine Detail Preservation Properties” International conference on Signal Processing, CIT at Coimbatore, Aug. 2007.
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Keywords
Mean filter, Median filter, bilateral filter, Hybrid filter.