小波变换用于CT图像重建及处理研究

研究了小波变换多分辨率图像重建和局部区域重建算法。在算法中 ,小波滤波器直接修正重建滤波器 ,重建得到各种细节图像 ,并能快速地得到重建图像的轮廓。由于小波变换的局部性 ,使用局部数据能重建局部图像。通过小波多尺度分析和重构系数控制 ,提出一种简单算法 ,在重建中进行图像增强和噪声消除 ,该算法将图像重建与图像处理结合在一起。与通用的算法相比 ,能提高重建速度和图像质量

Study on CT Image Reconstraction and Processing Using Wavelets

We show how the wavelet transform can be used to reconstruct multiscale image and local image. The filters of reconstruction are revised directly by wavelet filters in this algorithm and the reconstruction gives us various detail images and coarse images very quickly. Because of locality of wavelet transform, local image can be reconstructed by local date. We propose a simple algorithm that enhance image and removed noise by multiscal wavelet analysis and control of reconstruction coefficient in reconstruction. The algorithm provides a way of combining reconstruction and processing of image into a single reconstruction. Compared to a general algorithm, the algorithm can be used to speed up image reconstruction and improve quality of image.