What is digital image processing?
Digital image processing is use of a digital computer to process digital images through an algorithm. Digital image processing as a broad spectrum of application, such as remote sensing via satellite and other space crafts. A single digital image can present a very large amount of information in a compact and easily interpreted form. Many of the techniques of digital image processing, or digital picture processing has developed in the 1960s at the Jet Propulsion Laboratory, MIT, Bell Labs, University of Maryland as application of satellite imagery.
Wire photo standard conversion, medical imaging, videophone, character recognition and photo enhancement, and the cost of processing was fairly high with the computing equipment of that era. In the 1970s, digital image processing proliferated, when cheaper computers and dedicated hardware became available. Images could then be processed in real time, for some dedicated problems as television standard conversion.
As general purpose computers became faster, they started to take over the role of dedicated hardware for all but the most specialized and computer intensive operations. With fast computers and signal processors available in the 2000s, digital image processing has become the most common form of image processing, and is generally used because it is the most versatile method.
Digital image processing allows the use of much more complex algorithms for image processing, and hence can offer more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.
In accordance with the methodology of image analysis, digital image processing is the theoretical and practical approach for the Classification , Feature Extraction and Pattern Recognition of the image.