Automated Universal Image Quality Index Measurement vs. Automated Noise Measurement: Which Method is Better to Define CT Image Quality?
نویسندگان
چکیده
منابع مشابه
Subjective Image Quality Measurement
Estimating the subjective, human-perceived quality of an image can be very useful. For example, with an accurate measure of how interesting and attractive each photo from an event is we could create high quality, automated slideshows and summaries. Often people take multiple pictures of the same scene, and these quality metrics could also be used for deduplication: once duplicate images have be...
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The traditional mean-squared-error (MSE) or peak-signal-to-noise-ratio (PSNR) error measures are mainly focused on the pixel-by-pixel diierence between the original and compressed images. Such metrics are improper for subjective quality or delity assessment, since human perception is very sensitive to correlations between adjacent pixels. In this work, we explore the Haar wavelet to model the s...
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The concept of perceptual image quality and its measurements are discussed. A distinction is made between appreciation-oriented and performance-oriented quality. It is argued that in both cases psychometrical scaling is a very important method with respect to the measurement of perceptual quality and the strength of its dimensions and therefore is indispensable if one wants to relate these attr...
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Subjectively-rated image databases have become increasingly popular in the evaluation of image quality measurement algorithms. Several groups recently have improved their metrics’ performance in matching these databases, using particular HVS (human visual system) properties or image statistical models. However, it is difficult to know whether these improvements are due to progress towards mimic...
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ژورنال
عنوان ژورنال: Jurnal Penelitian Fisika dan Aplikasinya (JPFA)
سال: 2019
ISSN: 2477-1775,2087-9946
DOI: 10.26740/jpfa.v9n2.p132-139