Performance study of Wavelet denoising techniques in Ultrasound images
نویسندگان
چکیده
The quality of biomedical image is degraded by many sources of noise such as imperfect instruments, interference from natural phenomena and data acquisition errors. In Ultrasound and MRI images, the image quality is degraded mainly by Speckle noise and Rician noise respectively. Removing noise from biomedical image is still a challenging problem for the biomedical researchers and lots of denoising techniques have been developed over a period. Presently, Wavelet gaining popularity in the area of biomedical image denoising due to its sparsity and multiresolution properties. In this work, we have employed the multiresolution wavelet denoising technique in biomedical ultrasound image. Several wavelets such as haar, daubechies, symlet, discrete meyer coiflets and biorthogonal have been implemented for denoising and compared the performance of each wavelet by calculating the peak signal to noise ratio (PSNR) of the image. This study will provide the knowledge and suitability of the particular wavelet in denoising the speckle noise in medical ultrasound images.
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