Image Quality: Measures and Visual Performance

Snyder, Harry L.

doi:10.1007/978-94-011-7062-8_4

Cited by 26 publications

(19 citation statements)

References 19 publications

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“…The main effect of resolution (Figure 11) is consistent with previous studies (Snyder, 1985), and can be quantitatively predicted by MTF-based measures of image quality (Beaton, 1984;Task, 1979). The subjective rating asymptote at 10 mils suggests a perceptual "bound• for MTF bandwidth improvements, since no appreciable effect on image quality was observed for the smallest line width.…”

Section: Resultssupporting

confidence: 88%

“…The general approach taken by these workers has been to develop design guidelines that optimize the energy levels at which the spatial frequency components of displayed images are transmitted. These guidelines can be evaluated analytically by measuring size-related characteristics of individual pixels, which are derived from the wi~:h of the narrowest line that can be imaged on the display (Snyder, 1985). This conceptualization of resolution has been found to correlate highly with subjective ratings of image quality and objective performance measures in specific task environments (Beaton, 1984;Task, 1979).…”

Section: Introductionmentioning

confidence: 99%

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An investigation of resolution and addressability requirements for digital display systems used in word-processing and computer-aided-drafting applications

Knox¹

2000

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Two hardware factors contributing to the overall image quality of digital CR Ts are display resolution and addressability. The relationship between these two factors and human performance was modeled by a metric of display quality, the Resolution Addressability Ratio (RAR), and investigated within the contexts of Word-Processing (WP) and 2Computer-Aided-Drafting (CAD) tasks. The findings indicate a perceptual limit to MTF bandwidth improvements, and signin..:ant differences iii display quality requirements between the two applications. The regression of image quality as a function of RAR metric values resulted in an r2 = 0.94 for the WP task and an r2 = 0.79 for the CAD task. These findings are discussed in terms of engineering guidelines for the design of CRT and flat-panel displays for applications which vary by the amount of the density of information in their typical displays.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

An investigation of resolution and addressability requirements for digital display systems used in word-processing and computer-aided-drafting applications

Knox¹

2000

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“…The idea for these metrics started with Shade's equivalent passband. See Task (1976), Tannas (1985), Snyder (1973Snyder ( , 1988, Beaten (1991), and Biberman (1973, 2000 for surveys of this area. These metrics share the concept that image quality can be quantified by some weighted integral of signal modulation which exceeds the eye contrast threshold.…”

Section: History Of Target Acquisition Modelingmentioning

confidence: 99%

The Targeting Task Performance (TTP) Metric A New Model for Predicting Target Acquisition Performance

Vollmerhausen¹,

Jacobs²

2004

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to a penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number.

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“…For the evaluation of these steganography techniques in terms of their efficiency, security, distortion, and diffusion of cover image analysis, the following metrics will be used (see [44][45][46][47][48]) For efficiency evaluation, the entropy matrix is used. Equation (1) describes the entropy measure.…”

Section: Evaluation Metricsmentioning

confidence: 99%

An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

Rashid¹,

Salamat

Prasath

2018

Technologies

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Abstract:Telemedicine is the use of Information and Communication Technology (ICT) for clinical health care from a distance. The exchange of radiographic images and electronic patient health information/records (ePHI/R) for diagnostic purposes has the risk of confidentiality, ownership identity, and authenticity. In this paper, a data hiding technique for ePHI/R is proposed. The color information in the cover image is used for key generation, and stego-images are produced with ideal case. As a result, the whole stego-system is perfectly secure. This method includes the features of watermarking and steganography techniques. The method is applied to radiographic images. For the radiographic images, this method resembles watermarking, which is an ePHI/R data system. Experiments show promising results for the application of this method to radiographic images in ePHI/R for both transmission and storage purpose.

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Image Quality: Measures and Visual Performance

Cited by 26 publications

References 19 publications

An investigation of resolution and addressability requirements for digital display systems used in word-processing and computer-aided-drafting applications

An investigation of resolution and addressability requirements for digital display systems used in word-processing and computer-aided-drafting applications

The Targeting Task Performance (TTP) Metric A New Model for Predicting Target Acquisition Performance

An Algorithm for Data Hiding in Radiographic Images and ePHI/R Application

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