Intravascular ultrasound is a catheter based ultrasound imaging used in the diagnosis and treatment of cardiovascular disease. It facilitates high-resolution tomography assessments of the dimensions of vessels, as well as direct examinations of the vessel walls and underlying atherosclerotic plaque morphology. Ultrasound imaging is degraded by the presence of signal-dependent noise and artifacts that lead to incorrect image measurements. The purpose of de-noise is to remove the speckle noise and the artifacts as well as retaining the edges and other detailed features as much as possible. In this paper, the performance of different filtering techniques such as median, anisotropic, wavelet, and homomorphic are analyzed and evaluated with quantitative measurements viz. mean square error (MSE), peak signal to noise ratio (PSNR) and signal to noise ratio (SNR).

血管内超声是用于心血管疾病的诊断和治疗的基于导管的超声成像。它有助于对血管的尺寸进行高分辨率的层析成像评估，以及直接检查血管壁和潜在的动脉粥样硬化斑块形态。由于存在与信号有关的噪声和伪像，从而导致错误的图像测量，从而导致超声成像质量下降。降噪的目的是消除斑点噪声和伪像，并尽可能保留边缘和其他详细特征。在本文中，通过定量测量来分析和评估不同滤波技术（例如中值，各向异性，小波和同态）的性能。均方误差（MSE），