Picture Quality Scale - definizione. Che cos'è Picture Quality Scale
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Cosa (chi) è Picture Quality Scale - definizione

CHARACTERISTIC OF AN IMAGE THAT MEASURES PERCEIVED IMAGE DEGRADATION
Image Quality; Picture quality
  • Blown highlights are detrimental to image quality. Top: Original image. Bottom: Blown areas highlighted in red.
  • At full resolution, this image has clearly visible compression artifacts, for example along the edges of the rightmost trusses.

Picture Quality Scale      
<graphics> (PQS) A system for rating image quality based upon features of images that affect their perception by the human eye, rather than the traditional signal-to-noise ratio which examines differences for every single pixel. [Details?] (1995-01-12)
Image quality         
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".
Color quality scale         
Colour Quality Scale; Color Quality Scale
Color quality scale (CQS) is a color rendering score – a quantitative measure of the ability of a light source to reproduce colors of illuminated objects. Developed by researchers at NISTDevelopment of a Color Quality Scale from NIST the metric aims to overcome some of the issues inherent in the widely used color rendering index (CIE Ra, 1974).

Wikipedia

Image quality

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".: 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.: 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. 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 : 430