Prema T. Akkasaligar

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—Speckle noise affects all coherent imaging systems including medical ultrasound. In medical images, noise suppression is a particularly delicate and difficult task. A tradeoff between noise reduction and the preservation of actual image features has to be made in a way that enhances the diagnostically relevant image content. Even though wavelets have been(More)
Medical ultrasound images are widely used for diagnostic purposes. A major problem regarding these images is in their inherent corruption by speckle noise. The presence of speckle noise severely hampers the interpretation and analysis of medical ultrasound images. The objective of the paper is to propose a method for removal of noise in the medical(More)
The widespread usage of ultrasound imaging equipment necessitates the need for better image processing techniques to offer a clearer image to the medical practitioner. This makes the use of efficient despeckle filtering a very important task. The speckle is most often considered a dominant source of multiplicative noise in ultrasound imaging and should be(More)
Cerebrovascular accident is the third most common leading cause of death worldwide, after coronary heart disease and cancer. The World Health Organisation defines stroke as " rapid ly developing clinical signs of focal (or global) disturbance of cerebral function, with symptoms lasting for 24 hours or longer, or leading to death with no apparent cause other(More)
Ultrasound imaging is widely used in the field of medicine. It is used for imaging soft tissues in organs like liver, kidney, spleen, uterus, heart, brain etc. The common problem in ultrasound image is speckle noise which is caused by the imaging technique used, that may be based on coherent waves such as acoustic to laser imaging. The denoising is to be(More)
In the current era because of the advanced techniques in digital communication network, telemedicine is used to diagnose diseases in remote areas. Hence the broadcast of electronic medical images over internet has become frequent. Due to lack of security levels in internet broadcast of electronic medical image is always susceptible to hackers and other(More)
The major difficulty concerning echocardiograph image processing is speckle noise. In this paper, we present wavelet based algorithm for denoising echocardiograph images and then determine an optimal wavelet filter that yields good quality images. The log transformed input is represented in multiscale wavelet domain. Global hard thresholding of subband(More)