Image processing refers to the manipulation of digital images on a computer, including image enhancement, sharpening, and conversion into grayscale. It's an intricate field utilizing numerous algorithms and techniques.
Image Acquisition: The initial step in digital imaging is image capture. This can be accomplished using either a camera or another device such as a scanner.
Data Compression: Images may be compressed for specific applications to save bandwidth and enhance transmission speed, particularly over the internet.
Pyramidal Representation: When representing images online, pyramids (regions with similar shapes) can be used to organize pixels into pyramidal regions with each point on the map representing one of its pixels. This technique allows low resolution thumbnail images to be presented via this process.
Visualization: Visualization aims to simplify data representation by giving non-visible objects visual form. This technique is frequently employed for computer vision applications like object recognition and detection.
Morphological Processing: The next step in image processing involves extracting components that will be useful to further processes. This can be accomplished using erosion or dilation operations, or through segmentation where key parts of an image are separated for easier analysis and handling.
Recollection, where an image is enhanced to enable retrieval and distribution of its stored information, is the final step of image analysis and processing. Recollection can play an essential role in many fields including law enforcement, remote sensing and surveillance.