【摘要】 对基于小波分析的fMRI去噪作了较具体的论述,并在Donoho和Johnstone的Hard函数及Soft函数基础上提出了更合适的Hard-Soft函数.从结果分析看,Hard-Soft函数比Soft函数在保留图像细节上占优,而去噪性能比Hard函数要好.因而能够在图像去噪和保护信息上达到更好的均衡,克服了Hard函数和Soft函数的两个极端状况.更多还原

【Abstract】 Image denoising in fMRI based on a wavelet analysis is discussed. A more suitable Hard-Soft function, which is derived from the Hard function and the Soft function (both developed by Donoho and Johnstone) is presented. According to the analysis of the results, the Hard-Soft function is superior to the Soft function in preserving image details and superior to the Hard function in removing image noise. Thus, better balance can be achieved between the image details preserved and the noise removed and the two extreme states held by the Hard function and the Soft function can be overcome.更多还原