Presidential Young Investigator Awards

将在光学处理器的傅里叶域中进行使用非线性变换和非线性技术进行光学图像处理的实验。傅里叶平面中的非线性变换可以在诸如模式识别、关联检索、图像去卷积、图像增强等各种应用中非常有用。通过在傅立叶域中引入非线性变换，对于基于相关器的光学模式识别，处理后的图像检测可以显著提高。将探索各种类型的体系结构来实现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.