A Comparative Analysis of Different Wavelets for Enhancing Medical Ultrasound Images
D. Girish Kumar, Maitreyee Dutta, Parveen Kumar Lehana · International Journal of Computer Applications · 2013
Ultrasound imaging is one of the popular imaging modalities used frequently by medical practitioners for diagnosis of diseases. But the problem with this technique is its low-resolution and the presence of speckle noise. This makes it difficult for the medical practitioners in studying and properly diagnosing the disease. In the past, researchers have enhanced the medical ultrasound images using various techniques like spatial-domain filtering, frequency domain filtering, histogram processing, morphological filtering and wavelets. Among these, wavelet based techniques have proved to be superior as compared to the rest of the techniques for enhancing medical ultrasound images. In this paper, a comparative analysis of different wavelet families has been carried out for enhancing medical ultrasound images. We have investigated the performance of Haar, Daubechies, Coiflet and Symlet wavelets of various orders using different decomposition levels and threshold selection methods to determine which one yields better enhancement results. The performance is evaluated using objective image quality parameters like Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR). General Terms Medical image processing, Image enhancement, Speckle.