Image Quality
Author Affiliations +
Abstract
Our perception of good image quality is based on the real-world experiences of seeing all colors, all intensities, and textures. An imaging system has limited field of view, limited temporal and spatial resolutions, and presents a two-dimensional view of a three-dimensional world. In the real world our eyes scan the entire scene. Not all of the available information is captured by an imaging system. Further, an imaging system introduces noise; the loss of image quality due to noise can only be estimated. Cameras sensitive to wavelengths less than 0.4 μm and greater than 0.7 μm provide imagery that we cannot directly perceive. The quality of the ultraviolet or infrared imagery can only be estimated because we do not know how it really appears.
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KEYWORDS
Modulation transfer functions

Sensors

Image quality

Imaging systems

Cameras

Spatial frequencies

Eye

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