A Virtual Analysis on Effective Speckle Noise Removal Techniques in Medical Images by Various Filtering Methods

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2016 by IJCTT Journal
Volume-38 Number-3
Year of Publication : 2016
Authors : S.Hariharasudhan, Dr.B.Raghu
  10.14445/22312803/IJCTT-V38P125

MLA

S.Hariharasudhan, Dr.B.Raghu "A Virtual Analysis on Effective Speckle Noise Removal Techniques in Medical Images by Various Filtering Methods". International Journal of Computer Trends and Technology (IJCTT) V38(3):138-144, August 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
Acquiring a cost effective and efficient method of removing speckle noise from the images is an extraordinary questioning for the researchers and Scientists. Change of magnitude of speckle noise is the most essential processes to improve the quality of consistent and coherent images. Speckle Noise is a farinaceous noise that integrally exists in and aggrades the quality of the progressive in Medical Images. In Medical image processing, image denoising is essential work all through make a diagnosis. Intercession between the upholding of useful diagnostic knowledge and noise repression must be cherished in medical related images. In Ultrasound medical images, the noise can pin down information which is expensive for the medical practitioner. At the same time medical images are very contradictory, and it is decisive to operate from initial state to Final state. These Medical images may be multi - dimensional representations of the object. Here the Speckle noise is to be removed for the fine quality of an image objects. Noise can aggrade the image at the time of acquiring or transmittance of an image. Before applying image processing techniques to an image, Speckle noise removal from the images is to be done. Wide and Wise algorithms are available and accessible, but they have their own postulates, virtues and disadvantages. Filtering is one of the communal methods which is used to cut down the speckle noises. Here a beam of light is thrown on speckle noise and an analysis is carried forward for the removal of speckle noise . Also Multi-Speckle noise reduction filters are considered on the conditional Images such as real or artificial Images for this analysis. This research paper projects the effects of different applied noise image models and de-noising the selected image noise with the help of different filter models and studies the results of applying various Speckle noise reduction techniques with the help of Images and Diagrams.

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Keywords
Speckle noise, Medical Images, Medical imaging, De-noising.