Dippel Sabine, Stahl Martin, Wiemker Rafael, Blaffert Thomas
Philips Research Laboratories, Division Technical Systems, Hamburg, Germany.
IEEE Trans Med Imaging. 2002 Apr;21(4):343-53. doi: 10.1109/TMI.2002.1000258.
Contrast enhancement of radiographies based on a multiscale decomposition of the images recently has proven to be a far more versatile and efficient method than regular unsharp-masking techniques, while containing these as a subset. In this paper, we compare the performance of two multiscale-methods, namely the Laplacian Pyramid and the fast wavelet transform (FWT). We find that enhancement based on the FWT suffers from one serious drawback-the introduction of visible artifacts when large structures are enhanced strongly. By contrast, the Laplacian Pyramid allows a smooth enhancement of large structures, such that visible artifacts can be avoided. Only for the enhancement of very small details, for denoising applications or compression of images, the FWT may have some advantages over the Laplacian Pyramid.
最近基于图像多尺度分解的射线照片对比度增强已被证明是一种比常规的非锐化掩膜技术更通用、更有效的方法,同时常规方法也是多尺度分解方法的一个子集。在本文中,我们比较了两种多尺度方法的性能,即拉普拉斯金字塔和快速小波变换(FWT)。我们发现基于快速小波变换的增强存在一个严重缺陷——当对大结构进行强烈增强时会引入可见伪影。相比之下,拉普拉斯金字塔允许对大结构进行平滑增强,从而可以避免可见伪影。仅在增强非常小的细节、去噪应用或图像压缩方面,快速小波变换可能比拉普拉斯金字塔具有一些优势。