Presidential Young Investigator Awards

实验使用的非线性变换和非线性技术的傅里叶域的光学处理器的光学图像处理将进行。傅里叶平面的非线性变换在模式识别、关联检索、图像反卷积、图像增强等多种应用中非常有用。通过在傅里叶域中引入非线性变换，可以显著改善基于相关器的光学模式识别的图像检测处理。将探讨各种类型的架构，以实现在傅立叶平面上的非线性变换。

Experiments on the use of nonlinear transformations and nonlinear techniques in the Fourier domain of optical processors for optical image processing will be carried out. Nonlinear transformation in the Fourier plane ca be very useful in a variety of applications such as pattern recognition, associative retrieval, image deconvolution, image enhancement, etc. By introducing nonlinear transformations in the Fourier domain, image detection processed can be significantly improved for the case of correlator based optical pattern recognition. Various type of architecture will be explored to implement nonlinear transformation at the Fourier plane.