Performance Analysis of Filters for Speckle Reduction in Medical Ultrasound Images
نویسندگان
چکیده
Speckle is a random multiplicative noise which obscures the perception and extraction of fine details in ultrasound image and despeckling is necessary to improve the visual quality for better diagnoses. Preliminary treatment of images before segmentation and classification includes despeckling as one of the important steps. This paper aims at introducing the possible range of image speckle corrections available. The performances of different filters – Mean, Lee, Kuan, Frost, Median, Homomorphic, Speckle Reducing Anisotropic Diffusion(SRAD), Non Linear Coherent Diffusion(NCD) are compared on the basis of Peak Signal to Noise Ratio(PSNR), Signal to Noise Ratio(SNR), Root Mean Square Error(RMSE) ,Structure Similarity Index(SSIM), Image Quality Index(IMGQ) and Edge Preservation Factor(EPF).
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