Reduction of Speckle Noise in Ultrasound Images Using Wavelet Techniques and its Performance Analysis

Abstract

Noise can be of different types in Image processing but in medical images the noise which generally corrupts the image is speckle noise. Thus image De-noising has become very essential in the field of the biomedical image pre-processing. It is often done before the image data is to be analyzed. This paper gives a review of various different techniques for reduction of speckle noise in ultrasound images. Ultrasonic imaging is a widely used medical imaging procedure because it is comparatively safe, economical, adaptable, and transferable. Though, one of its main disadvantages is the poor quality of images, which are corrupted by speckle noise. The presence of speckle is unattractive since it degrades image quality and it affects the tasks of individual interpretation and diagnosis. This paper demonstrates wavelet based techniques for improving visual image quality in ultrasound images and de-noising. With the help of variable window technique, region based processing and discrete wavelet transform technique provides better noise rejection in ultrasound images by removing the speckle noise.