@inproceedings{scholars1966,
            year = {2011},
         journal = {AIP Conference Proceedings},
           pages = {166--169},
          volume = {1337},
            note = {cited By 0; Conference of 4th Global Conference on Power Control and Optimization ; Conference Date: 2 December 2010 Through 4 December 2010},
             doi = {10.1063/1.3592460},
         address = {Sarawak},
           title = {Speckle reduction of ultrasound images of bone fracture using wavelets},
            issn = {0094243X},
          author = {Zain, M. L. B. M. and Elamvazuthi, I. and Begam, M.},
            isbn = {9780735408937},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-80051562724&doi=10.1063\%2f1.3592460&partnerID=40&md5=4a8ed68d250aed8300824b512ce9427b},
        abstract = {Ultrasound imaging or ultrasound scanning has become a very important diagnostic tool in many areas of medicine. However, due to inherent speckle noises in the ultrasound images which make the images unclear for fast interpretation, the use of ultrasound for bone fracture detection is limited. Therefore, a study was carried out to reduce speckle using filtering functions such as Biorthogonal, Daubechies, Haar and Symlets in the wavelet domain. This paper discusses the level of improvement obtained through these wavelet functions. It was ascertained by peak signal-to-noise ratio (PSNR). The results show that amongst the wavelets, the Daubechies yielded better performance. {\^A}{\copyright} 2011 American Institute of Physics.}
}