Importance of Image processing


Image processing is fastest developing technology. It is a key research topic in engineering and computer science disciplines for scholars and engineers.

Simply stating, image processing is a process to perform some operations on an image to get an improved image or to gather some important information from it. It is a kind of signal processing in which input is an image and output may be image or features linked with that image. Image processing is wide spectrum phrase in contemporary IT field that denotes to using various methods to process or enhance images. Experts perform mathematical operations or algorithms as tools to process an image.

Fundamentally, Image processing has three steps:
1. Importing the image through image acquisition tools.
2. Analysing and manipulating the image.
3. Output in which result can be transformed as image or report that is based on image analysis.

Image can be processed by analogue and digital image processing techniques. Analogue image processing can be used for the hard copies such as printouts and photographs. Image analysts use numerous fundamentals of interpretation by using these visual techniques.

Another technique, digital image processing method manipulates the digital images by using computers. Data is processed through three general phases that include pre-processing, enhancement, display, and information extraction.
There is a huge demand of image processing in diverse application areas like multimedia computing, secured image data communication, biomedical imaging, biometrics, remote sensing, texture understanding, pattern recognition, content-based image retrieval,  and compression.

It is well said that in image processing, developers and engineers can analyse quantitative data or numerical data sets to alter the visual result. There are numerous purposes for performing Image processing such as the retrieval of particular information from an image, image recognition, image clarity or enhancement and pattern measurement.

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