Speckle Noise Reduction Using Local Binary Pattern, Anisotropic Diffusion and Bilateral Filter
Mandeep Sandhu, Rajandeep Kaur · 2014
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 diffusion is applied on LBP texton to remove noise from our noisy image. In the last we apply bilateral filter to improve the resultant image.