Image quality can refer to the level of accuracy with which different imaging systems capture, process, store, compress, transmit and display the signals that form an image. Another definition refers to image quality as "the weighted combination of all of the visually significant attributes of an image".[1]: 598 The difference between the two definitions is that one focuses on the characteristics of signal processing in different imaging systems and the latter on the perceptual assessments that make an image pleasant for human viewers.
Image quality should not be mistaken with image fidelity. Image fidelity refers to the ability of a process to render a given copy in a perceptually similar way to the original (without distortion or information loss), i.e., through a digitization or conversion process from analog media to digital image.
The process of determining the level of accuracy is called Image Quality Assessment (IQA). Image quality assessment is part of the quality of experience measures. Image quality can be assessed using two methods: subjective and objective. Subjective methods are based on the perceptual assessment of a human viewer about the attributes of an image or set of images, while objective methods are based on computational models that can predict perceptual image quality.[2]: vii Objective and subjective methods aren't necessarily consistent or accurate between each other: a human viewer might perceive stark differences in quality in a set of images where a computer algorithm might not.
Subjective methods are costly, require a large number of people, and are impossible to automate in real-time. Therefore, the goal of image quality assessment research is to design algorithms for objective assessment that are also consistent with subjective assessments.[3] The development of such algorithms has a lot of potential applications. They can be used to monitor image quality in control quality systems, to benchmark image processing systems and algorithms and to optimize imaging systems.[2]: 2 [3]: 430
^Burningham, Norman; Pizlo, Zygmunt; Allebach, Jan P. (2002). "Image Quality Metrics". In Hornak, Joseph P. (ed.). Encyclopedia of imaging science and technology. New York: Wiley. doi:10.1002/0471443395.img038. ISBN 978-0-471-33276-3.
^ abWang, Zhou; Bovik, Alan C. (2006). "Preface". Modern image quality assessment. San Rafael: Morgan & Claypool Publishers. ISBN 978-1598290226.
^ abSheikh, Hamid Rahim; Bovik, Alan C. (February 2006). "Image Information and Visual Quality". IEEE Transactions on Image Processing. 15 (2): 430–444. Bibcode:2006ITIP...15..430S. CiteSeerX 10.1.1.477.2659. doi:10.1109/TIP.2005.859378. PMID 16479813.
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between storage size and imagequality. JPEG typically achieves 10:1 compression with little perceptible loss in imagequality. Since its introduction...
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distribution. Different from imagequality, which is often referred to as the subject preference for one image over another, image fidelity represents to the...
the compression, the more information is lost, ultimately reducing imagequality or detail that can not be restored. JPEG uses knowledge of the way the...
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imagequality models has also been given in a journal paper by Shahid et al. The quality measure of every frame in a video (as determined by an image...
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setting) will increase the imagequality of the output image, as the ISO gain will amplify the low voltage from the image sensor and generate a higher...
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is commonplace within the motion picture industry to refer to "nK" image "quality", where n is a (small, usually even) integer number which translates...
compromising the imagequality. In general, higher radiation doses result in higher-resolution images, while lower doses lead to increased image noise and unsharp...
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radiologic technologist) is usually responsible for acquiring medical images of diagnostic quality; although other professionals may train in this area, notably...
implement artificial intelligence in healthcare have demonstrated higher imagequality and morphometric analysis in neuroimaging with the application of a...
Graphics Interchange Format (GIF; /ɡɪf/ GHIF or /dʒɪf/ JIF, ) is a bitmap image format that was developed by a team at the online services provider CompuServe...
further constrain the size of the image sensor. Inversely, some manufacturers have recently been able to improve imagequality by switching to a lens with a...
complex setups, to allow the hotlinking but return an alternative image with reduced quality and size and thus reduce the bandwidth load when requested from...