Adelmann H G
Microscopy Workgroup, NWV Hagen, Leverkusen, Germany.
Comput Biol Med. 1998 Mar;28(2):169-81. doi: 10.1016/s0010-4825(98)00004-3.
In digital image processing, the homomorphic filtering approach is derived from an illumination-reflectance model of the image. Homomorphic filtering can perform simultaneous dynamic range compression and contrast enhancement. Crucial for the success of the homomorphic approach is the selection of an appropriate frequency-domain filter function in order to modify the illumination and reflectance components of an image differently. The author found Butterworth type highpass equations far superior to other frequency-domain filter functions, including Gaussian equations, making the Butterworth highpass suitable for use with the homomorphic filtering approach. The program was written in Microsoft (MS) Visual C++ (filter) as well as MS Visual Basic (user interface) to run as a module under the image processing software package Image-Pro Plus.
在数字图像处理中，同态滤波方法源自图像的照度 - 反射率模型。同态滤波可以同时进行动态范围压缩和对比度增强。同态方法成功的关键在于选择合适的频域滤波器函数，以便对图像的照度和反射率分量进行不同的修改。作者发现巴特沃斯型高通方程远比其他频域滤波器函数优越，包括高斯方程，这使得巴特沃斯高通滤波器适用于同态滤波方法。该程序用微软（MS）Visual C++（滤波器部分）以及MS Visual Basic（用户界面部分）编写，作为一个模块在图像处理软件包Image-Pro Plus下运行。
