M.T.Hasan Amin - Academia.edu (original) (raw)
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Papers by M.T.Hasan Amin
IOSR Journal of Electrical and Electronics Engineering, 2013
In medical image processing image denoising has become a very essential exercise all through the ... more In medical image processing image denoising has become a very essential exercise all through the diagnose. Medical images are often deteriorated by noise due to a serious sources of interferences and other phenomenon that affect the measurement process in an imaging and acquisition system. Speckle noise is a random mottling of the image with bright and dark spots, which obscures fine details and degrades the delectability of low contrast lesions. Speckle noise occurrence is often undesirable since it affects the tasks of human interpretation and diagnosis. Speckle noise is a granular noise that inherently exists in and degrades the quality of the images. Generally it is found in Ultrasound image and radar image. Various noise removing methods has been introduced. This paper run a comparative study on various filter efficiencies in removing speckle noise from medical ultrasound images using statistical measures.
Journal of Electromagnetic Analysis and Applications, 2015
Underwater Wireless Communication, largely dependent on the acoustic communication between the ma... more Underwater Wireless Communication, largely dependent on the acoustic communication between the machines, is largely affected by various types of noise in the shallow and deep water. However ambient noise which is due to multiple sources (e.g. shipping, wind) and no one source dominates. Ambient noise masks the acoustic signal to a large extent. Hence today it has drawn the attention of the experts to reduce its effect on the received signal. This paper discusses ambient noise problem and devises a new wavelet thresholding method to reduce its effect. Afterwards a comparative study on statistical parameters is shown to prove the efficiency of the devised method.
International Journal of Electronics and Electrical Engineering, 2014
IOSR Journal of Electrical and Electronics Engineering, 2013
In medical image processing image denoising has become a very essential exercise all through the ... more In medical image processing image denoising has become a very essential exercise all through the diagnose. Medical images are often deteriorated by noise due to a serious sources of interferences and other phenomenon that affect the measurement process in an imaging and acquisition system. Speckle noise is a random mottling of the image with bright and dark spots, which obscures fine details and degrades the delectability of low contrast lesions. Speckle noise occurrence is often undesirable since it affects the tasks of human interpretation and diagnosis. Speckle noise is a granular noise that inherently exists in and degrades the quality of the images. Generally it is found in Ultrasound image and radar image. Various noise removing methods has been introduced. This paper run a comparative study on various filter efficiencies in removing speckle noise from medical ultrasound images using statistical measures.
Journal of Electromagnetic Analysis and Applications, 2015
Underwater Wireless Communication, largely dependent on the acoustic communication between the ma... more Underwater Wireless Communication, largely dependent on the acoustic communication between the machines, is largely affected by various types of noise in the shallow and deep water. However ambient noise which is due to multiple sources (e.g. shipping, wind) and no one source dominates. Ambient noise masks the acoustic signal to a large extent. Hence today it has drawn the attention of the experts to reduce its effect on the received signal. This paper discusses ambient noise problem and devises a new wavelet thresholding method to reduce its effect. Afterwards a comparative study on statistical parameters is shown to prove the efficiency of the devised method.
International Journal of Electronics and Electrical Engineering, 2014