Digital Image Processing: An Overview of Computational Time Requirement

Image processing is a growing field covering a wide range of techniques for the manipulation of digital images [1].Many image processing tasks can be characterized as being computationally intensive. One reason for this is the vast amount of data that requires processing, more than seven million pixels per second for typical image sources. To keep up with these data rates and demanding computations in real-time, the processing engine must provide specialized data paths, application-specific operators, creative data management, and careful sequencing and pipelining. The paper is confined to the major drawback of digital image processing which is the computational time required and is also said to be the computational power of a digital image processing system.