What is Digital Image Processing?

Digital image processing is the field of computer science that deals with the processing and manipulating of digital images. It involves using algorithms and techniques to analyze and modify ideas, typically to improve the quality or extract useful information from the pictures.

Digital image processing is used in a wide range of applications, including:

Image enhancement: This involves improving the visual quality of an image, such as increasing contrast or removing noise.

Image restoration: This involves repairing or correcting an image that has been degraded or damaged in some way.

Image recognition involves identifying and labelling objects or features in an image.

Image analysis: This involves extracting quantitative information from an image, such as measurements or statistical data.

Digital image processing is an important field that relies on strong analytical and problem-solving skills and a strong understanding of computer science and mathematics. As a result, it is an essential tool for a wide range of industries, including healthcare, manufacturing, and security.

Digital Image Processing is used to process images. Computer graphics, communications, photography, camera mechanisms, pixels, etc., are a few examples.

A platform for a variety of operations, including image enhancement, the processing of analogue and digital signals, picture signals, speech signals, etc., is provided by digital image processing.

It offers pictures in many forms.

Digital image processing benefits:

Reconstructed images (CT, MRI, SPECT, PET)

Reformatting an image (Multi-plane, multi-view reconstructions)

Quick image retrieval and storage

Distribution of images quickly and with quality.

Regulated viewing (windowing, zooming)