四川大学学报（自然科学版）2008，Vol.45Issue(5)：1105-1110,6.
基于多尺度分析的血管内超声图像去噪和增强
Denoising and enhancement in intravascular ultrasound images via multiscale analysis
摘要
Abstract
An algorithm based on dyadic wavelet transform for speckle reduction and contrast enhancement in intravascular ultrasound images was presented. Wavelet shrinkage techniques which combined soft and hard thresholding were applied to coefficients of logarithmically transformed images since scattering from red blood cells (blood speckle noise) was multiplicative noise and a method to estimate local threshold was proposed. In addition, a fast contrast enhancement algorithm based on multi-scale edges representation of images through stretching the local extrema and interpolating them with Hermite interpolation polynomials was carried out. Experiments with clinical images showed that this algorithm was capable of not only reducing the speckle noise of blood but also enhancing features of diagnostic importance of intravascular ultrasound images and produced superior results qualitatively when compared to results obtained from existing denoising methods alone.关键词
图像处理/血流斑点噪声抑制和对比度增强/二进小波变换/血管内超声Key words
image processing/blood speckle reduction and contrast enhancement/dyadic wavelet transform/intravascular ultrasound分类
信息技术与安全科学引用本文复制引用
李虹,王惠南,章哓国..基于多尺度分析的血管内超声图像去噪和增强[J].四川大学学报（自然科学版）,2008,45(5):1105-1110,6.基金项目
国家自然科学基金(60502030) （60502030）
