DIGITAL IMAGE PROCESSING: APPLICATIONS LECTURE NOTES

DIGITAL IMAGE PROCESSING: APPLICATIONS LECTURE NOTES


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Flexibility and adaptability. The most substantial advantage of digital computers as compared with analog electronic and optical information processing devices is that no hardware modifications are necessary to reprogram digital computers to solving different tasks. With the same hardware, one can build an arbitrary problem solver by simply selecting or designing an appropriate code for the computer. This feature makes digital computers also an ideal vehicle for processing image signals adaptively since, with the help of computers, they can adapt rapidly and easily to varying signals, tasks and end user requirements. - Digital computers integrated into imaging systems enable them to perform not only element-wise and integral signal transformations such as spatial and temporal Fourier analysis, signal convolution and correlation that are characteristic for analog optics but any operations needed. This removes the major limitation of optical information processing and makes optical information processing integrated with digital signal processing almost almighty. - Acquiring and processing quantitative data contained in images as signals, and connecting imaging systems to other informational systems and networks is most natural when data are handled in digital form. In the same way as in economics currency is a general equivalent, digital signals are general equivalent in information handling. A digital signal within the computer that represents, so to say, purified information carried by image signals deprived of its physical integument. Thanks to its universal nature, the digital signal is an ideal means for integrating different informational systems.

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