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在目标图像的处理中，对图像进行空间子区分割，利用于波函数的局域化和多尺度的特性，对有目标信息的子区进行光学子被函数变换；并对有目标信息子区中的子波函数进行多通道并行处理，避免了繁琐的数学运算，提高了图像处理速度，可快速给出准确的目标特征。文中阐述了一维子波函数光学变换用于图像处理的方法，通过光学方法将图像进行子区分割，并运用子波函数的特性对子区中图像信息进行光学子波变换，通过多路光学通道同时提取图像的边缘信息。本文基于子波变换的理论对光学子波变换的原理进行了详细论述，建立了一套完整的光学子波变换的实验系统，并给出了具有理论依据的实验数据。
In the processing of the target image, the image is divided into spatial sub-regions, and the sub-regions with the target information are transformed by optical sub-functions using the local and multi-scale features of the wave functions. Of the wavelet function for multi-channel parallel processing, to avoid the cumbersome mathematical operations, improve the image processing speed, can quickly give accurate target characteristics. In this paper, the method of one-dimensional wavelet transform for image processing is described. The image is subdivided by optical method, and the image information in the sub-region is transformed by optical wavelet transform. The channel extracts the edge information of the image at the same time. In this paper, based on the theory of wavelet transform, the principle of optical wavelet transform is discussed in detail. A complete set of experimental system of optical wavelet transform is established and experimental data with theoretical basis are given.