In medical image processing, image denoising has become a very essential exercise all through the diagnose. Negotiation between the preservation of useful diagnostic information and noise suppression must be treasured in medical images. In case of ultrasonic images a special type of acoustic noise, technically known as speckle noise, is the major factor of image quality degradation. Many denoising techniques have been proposed for effective suppression of speckle noise. Removing noise from the original image or signal is still a challenging problem for researchers. In this paper, a Curvelet transform based denoising with improved thresholds is proposed for ultrasound images.
Kaur, Tajinder; Kumar, Dinesh; Walia, Ekta; and Sandhu, Manjit
"Curvelet Denoising with Improved Thresholds for Application on Ultrasound Images,"
International Journal of Computer and Communication Technology: Vol. 4
, Article 2.
Available at: https://www.interscience.in/ijcct/vol4/iss3/2