DocumentCode :
1986787
Title :
Block based thresholding in wavelet domain for denoising ultrasound medical images
Author :
Kishore, P.V.V. ; Sastry, A.S.C.S. ; Kartheek, A. ; Mahatha, Sk Harshad
Author_Institution :
Dept. of E.C.E, K.L. Univ., Guntur, India
fYear :
2015
fDate :
2-3 Jan. 2015
Firstpage :
265
Lastpage :
269
Abstract :
Medical ultrasound imaging has transformed the disease identification in the human body in the last few decades. The major setback for ultrasound medical images is speckle noise. Speckle noise is created in ultrasound images due to numerous reflections of ultrasound signals from hard tissues of human body. Speckle noise corrupts the medical ultrasound images dropping the detectable quality of the image. An endeavor is made to recover the image quality of ultrasound medical images by using block based hard and soft thresholding of wavelet coefficients. Medical ultrasound image is transformed to wavelet domain using debauchee´s mother wavelet. Divide the approximate and detailed coefficients into uniform blocks of size 8×8, 16×16, 32×32 and 64×64. Hard and soft thresholding on these blocks of approximate and detailed coefficients are applied. Inverse transformation to original spatial domain produces a noise reduced ultrasound image. Experiments were conducted on medical ultrasound images obtained from diagnostic centers in Vijayawada, India. Quality of improved images in measured using peak signal to noise ratio (PSNR), image quality index (IQI), structural similarity index (SSEVI).
Keywords :
biological tissues; biomedical ultrasonics; image denoising; inverse transforms; medical image processing; speckle; wavelet transforms; block based wavelet coefficient thresholding; debauchee mother wavelet; disease identification; hard tissues; image quality index; inverse transformation; peak signal-to-noise ratio; spatial domain; speckle noise; structural similarity index; ultrasound medical image denoising; ultrasound signal reflections; Medical diagnostic imaging; Noise reduction; Speckle; Ultrasonic imaging; Wavelet domain; Wavelet transforms; Ultrasound medical imaging; block processing; hard and soft thresholding; speckle noise; wavelet transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on
Conference_Location :
Guntur
Type :
conf
DOI :
10.1109/SPACES.2015.7058262
Filename :
7058262
Link To Document :
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