ISITRA: A generalized way of signal decomposition and reconstruction

Speckle Noise Reduction in Medical Ultrasound Images

“…Image denoising using wavelet techniques is effective because of its ability to capture most of the energy of a signal in a few significant transform coefficients. Another reason of using wavelet transform is due to development of efficient algorithms for signal decomposition and reconstruction [16] for image processing applications such as denoising and compression. A survey of despeckling techniques is discussed in [17,18] and many wavelet domain techniques are already available in the literature.…”

“…The machine displays the distances and intensities of the echoes on the screen, forming a two dimensional image. Superficial structures such as muscles, tendons, testes, breast and the neonatal brain are imaged at a higher frequency (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18), which provides better axial and lateral resolution. Deeper structures such as liver and kidney are imaged at a lower frequency 1-6 MHz with lower axial and lateral resolution but greater penetration.…”