Region based speckle noise reduction approach using fuzzy techniques

Image denoising is an important step in the field of image processing. Presence of noise can lead to various obstacles in the way of proper analysis of images to extract information from it like misinterpretation of data, loss in the usability of the image etc. Denoised images are used in various applications such as in medical diagnosis, ultrasound imaging, satellite imaging, pattern recognition etc. Different image denoising techniques are already in existence that uses different filters to remove noise. Fuzzy logic is a soft computing technique that allows for approximations and partial truths. The benefit of using fuzzy logic for denoising purpose is to increase the tractability, robustness and effectiveness of the existing traditional denoising methods. This paper presents a novel fuzzy based method for removal of speckle noise, which mostly affects ultrasound and SAR images.