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The foundation of imaging science as a discipline is the "imaging chain" – a conceptual model describing all of the factors which must be considered when developing a system for creating visual renderings (images). In general, the links of the imaging chain include:
The human visual system. Designers must also consider the psychophysical processes which take place in human beings as they make sense of information received through the visual system.
The subject of the image. When developing an imaging system, designers must consider the observables associated with the subjects which will be imaged. These observables generally take the form of emitted or reflected energy, such as electromagnetic energy or mechanical energy.
The capture device. Once the observables associated with the subject are characterized, designers can then identify and integrate the technologies needed to capture those observables. For example, in the case of consumer digital cameras, those technologies include optics for collecting energy in the visible portion of the electromagnetic spectrum, and electronic detectors for converting the electromagnetic energy into an electronic signal.
The processor. For all digital imaging systems, the electronic signals produced by the capture device must be manipulated by an algorithm which formats the signals so they can be displayed as an image. In practice, there are often multiple processors involved in the creation of a digital image.
The display. The display takes the electronic signals which have been manipulated by the processor and renders them on some visual medium. Examples include paper (for printed, or "hard copy" images), television, computer monitor, or projector.
Note that some imaging scientists will include additional "links" in their description of the imaging chain. For example, some will include the "source" of the energy which "illuminates" or interacts with the subject of the image. Others will include storage and/or transmission systems.
Amateur photography grew in the late 19th century due to the popularization of handheld cameras.[3] In the mid-2010s, smartphone cameras received numerous automatic assistive features such as color management, autofocus, face recognition, and image stabilization, which significantly reduced the skills and effort required to obtain high-quality images.[4] New digital camera technologies and computer editing affect the perception of photographic images. The possibility of creating and processing realistic images in digital format—unlike raw photographs—changes viewers’ perception of the "truth" of digital photography.[5] Digital processing allows images to adjust the perception of reality, both past and present, and thus shape people’s identity, beliefs, and opinions. The social networks of the 21st century and the nearly ubiquitous camera phones have made photo and video recording commonplace in daily life. [6] In the 2020s, the use of artificial intelligence, simulated photography with computer graphics, and generative installations began.[7][8]