Steps in Digital Image Processing

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.