A Review on Speckle Noise Reduction Techniques in Ultrasound Medical images based on Spatial Domain, Transform Domain and CNN Methods
S. Pradeep, P Nirmaladevi
Abstract
Abstract Ultrasonography is non-invasive and painless. In Ultrasonography the images are often affected with Speckle noise. It is a multiplicative noise. To help the doctors to identify the abnormalities properly there are several methods to diagnose as speckle is a major problem. This paper gives details about popular spatial domain, transform domain, CNN techniques for despeckling in ultrasound images. Transform domain methods like Wavelet methods, Curvelet methods, Bayes Shrink methods are prominent among many researches. Deep learning based methods are evolving like DnCNN, ECNDNet etc. for efficient despeckling. An overview of the methods is given here with certain measurement parameters like PSNR, MSE.
Topics & Concepts
Speckle noiseArtificial intelligenceSpeckle patternComputer scienceCurveletComputer visionPattern recognition (psychology)Domain (mathematical analysis)Wavelet transformNoise (video)Noise reductionWaveletImage (mathematics)MathematicsMathematical analysisImage and Signal Denoising MethodsAdvanced Image Fusion TechniquesAdvanced Image Processing Techniques