International Journal of Science and Research (IJSR)
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Research Paper | Computer Science & Engineering | India | Volume 3 Issue 5, May 2014

Speckle Noise ReductionUsing Local Binary Pattern; Anisotropic Diffusion and Bilateral Filter

Mandeep Singh Sandhu, Rajandeep Kaur

Noise removal has received considerable attention from the research community. The reason for this interest is the removal of speckle noise from image can be done with minimum hardware added. However de-noising is susceptible to real life conditions like light etc. Hence; speckle noise removal is still a very challenging topic after decades of exploration. A number of typical algorithms have been derived by many researchers; and are categorized into template based; appearance-based; and model-based schemes. In the proposed work; investigated techniques are implemented which are not novel techniques; they are previously proposed and studied in the literature. In the first phase Local binary pattern is applied on the input image to generate LBP texton.The second method; anisotropic diffusionis applied on LBP texton to remove noise from our noisy image. In the last we apply bilateral filterto improve the resultant image.

Keywords: Local Binary Pattern LBP, Peak Signal to Noise Ratio PSNR, Mean Square Value MSE, Anisotropic Diffusion

Edition: Volume 3 Issue 5, May 2014

Pages: 1655 - 1659

How to Cite this Article?

Mandeep Singh Sandhu, Rajandeep Kaur, "Speckle Noise ReductionUsing Local Binary Pattern; Anisotropic Diffusion and Bilateral Filter", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=14051402, Volume 3 Issue 5, May 2014, 1655 - 1659

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