Image processing
Image Processing
Image processing (pronunciation: /ˈɪmɪdʒ ˈprəʊsɛsɪŋ/) is a method to perform some operations on an image, in order to get an enhanced image or to extract some useful information from it. It is a type of signal processing in which input is an image and output may be image or characteristics/features associated with that image.
Etymology
The term "image processing" is derived from two words, "image" and "processing". The word "image" comes from the Latin word "imago" meaning representation, likeness, or image. The word "processing" comes from the Latin word "processus" meaning a going forward, advance, or progress.
Related Terms
- Digital Image Processing: It is the use of computer algorithms to perform image processing on digital images.
- Image Analysis: It involves extracting meaningful information from images.
- Computer Vision: It is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
- Pattern Recognition: It is the automated recognition of patterns and regularities in data.
- Machine Learning: It is the study of computer algorithms that improve automatically through experience and by the use of data.
Image Processing Techniques
There are two types of methods used for Image Processing namely, Digital Image Processing and Analog Image Processing. Analog image processing can be used for the hard copies like printouts and photographs. Digital image processing techniques help in manipulation of the digital images by using computers.
Applications of Image Processing
Image processing has been an important stream of Research for various fields. Some of the major fields that use image processing include Medicine, Computer Science, Artificial Intelligence, Robotics, and Astronomy.
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