The steps which are used in
digital image processing which are given below.
Image acquisition is
the first process introduces a number of basic digital image concept that are
used. The image acquisition stage involves preprocessing such as scaling.
Image
enhancement is
the simplest and most appealing areas of digital image processing. Enhancement
simply to highlight certain features of interest in an image. It is a very
subjective area of image processing.
Image
restoration is
an area that also deals with improving the appearance of an image. Image
restoration is objective, the sense that restoration techniques tend to be
based on mathematical or probabilistic model of image degradation.
Color
image processing
is an area that has been gaining in importance because of the significant
increase in the use of digital images over the Internet. Color is used for
extracting the features of interest in an image.
Wavelets are the foundation for
representing images in various degree of resolution, in which images are
subdivided successfully into smaller regions.
Compression deals with techniques for
reducing the storage required to save image or bandwidth required to transmit.
Morphological processing deals with tools for
extracting image component that is useful in the representation and description
of shape.
Segmentation
producers
partition an image into its constituent part or objects. Segmentation is one of
the most difficult tasks in digital image processing. Segmentation procedure
brings the process a long way toward successful solution of imaging problems
that require object to be identified individually.