Optical computing techniques for parallel image processing

Optical signal processing (OSP) offers numerous advantages in real time image processing applications. OSP inherently offers parallelism in the processing of data at speeds much higher than those achievable using electrical digital signal processing (DSP). A review of the available OSP techniques for image processing is given. Particular attention is given to image feature estimation in background noise while the necessary OSP implementations are demonstrated.< >