Contemporary Topics in Optical Image Processing

Incoherent systems have a better signal-to-noise ratio than their coherent counterpart, but synthesizing the transfer function of an incoherent system is less straightforward than doing the same for a coherent system as the optical transfer function (OTF) is the autocorrelation of the pupil function, or equivalently the point spread function (PSF) is real non-negative. This chapter utilizes the concepts for achieving unique image processing operations such as bipolar incoherent image processing, scanning holography, edge enhancement, and edge enhanced correlation. Acousto-optics is used to realize heterodyne scanning, leading to bipolar processing. It is also used to perform image processing such as edge enhancement and corner detection. Nonlinear materials such as photorefractives are also used for edge enhancement and for edge enhanced correlation in a joint-transform correlation geometry. A novel technique using dynamic holography is described that corrects images corrupted by large and small scale phase distortions. MATLAB is a useful tool to analyze these optical systems, and in this context, relevant MATLAB programs and outputs are also discussed in the chapter.

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