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Peak signal-to-noise ratio revisited: Is simple beautiful?
2012 Fourth International Workshop on Quality of Multimedia Experience, 2012Heavy criticism has been directed against using peak signal-to-noise ratio (PSNR) as a full reference quality metric for digitally processed images and video, since many studies have shown a weak correlation between subjective quality scores and the respective PSNR values.
Jari Korhonen, Junyong You
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NRPSNR: No-Reference Peak Signal-to-Noise Ratio for JPEG2000
2013 Data Compression Conference, 2013The aim of this work is to define a no-referenced perceptual image quality estimator applying the perceptual concepts of the Chromatic Induction Model. The approach consists in comparing the received image, presumably degraded, against the perceptual versions (different distances) of this image degraded by means of a Model of Chromatic Induction, which
J. Moreno, B. Jaime, C. Fernandez
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Smoothing and the signal-to-noise ratio of peaks in electron spectroscopy
Journal of Electron Spectroscopy and Related Phenomena, 1989Abstract The smoothing of noisy peaks in electron Spectroscopy by convolutional algorithms is studied further to provide clear guidelines with which the analyst may obtain a rapid optimum result. Following detailed earlier work by Seah, Dench, Gale and Groves we focus on the Savizky and Golay cubic/quadratic, quartic/quintic and Gaussian ...
M.P. Seah, W.A. Dench
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Quantification of the accuracy limits of image registration using peak signal-to-noise ratio
Radiological Physics and Technology, 2016A new method was developed for quantifying the accuracy limits of image registration devices and the distortion of anatomical structures in verification images without image registration. A correlation was found between peak signal-to-noise ratio (PSNR) and the amount of parallel movement (1-10 mm at 1-mm intervals) of a rectangular parallelepiped ...
Yoshinori, Tanabe, Takayuki, Ishida
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Improvement of the signal-to-noise ratio of chromatographic peaks by Fourier transform
Analytica Chimica Acta, 1991Abstract A method is described for digital smoothing of chromatographic signals by using Fourier transform and is compared with some earlier methods. A new procedure is reported for determining the correct value of the cutoff frequency; a smoothing window is described which distorts the frequency function only slightly at low frequencies but smooths ...
Attila Felinger +2 more
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The Journal of the Acoustical Society of America, 2019
Speech (syllable) rate estimation typically involves computing a feature contour based on sub-band energies having strong local maxima/peaks at syllable nuclei, which are detected with the help of voicing decisions (VDs). While such a two-stage scheme works well in clean conditions, the estimated speech rate becomes less accurate in noisy condition ...
Yarra, Chiranjeevi +3 more
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Speech (syllable) rate estimation typically involves computing a feature contour based on sub-band energies having strong local maxima/peaks at syllable nuclei, which are detected with the help of voicing decisions (VDs). While such a two-stage scheme works well in clean conditions, the estimated speech rate becomes less accurate in noisy condition ...
Yarra, Chiranjeevi +3 more
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Parametric studies of matched filters to enhance the signal-to-noise ratios of LC–MS–MS peaks
Analytica Chimica Acta, 2006Chromatographic parameters of reference signals employed in matched filter methods have been studied using numerical experiments to improve the signal-to-noise (S/N) ratios of small liquid chromatography (LC) peaks obtained with electrospray tandem mass spectrometers (MS-MS).
Shau-Chun, Wang +2 more
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An adaptive detection system for Raman spectral peaks at low signal‐to‐noise ratios
Journal of Raman Spectroscopy, 1984AbstractRaman spectroscopic techniques have made it possible to study adsorbed species on single metal crystals at submonolayer coverages. However, as the amount of coverage decreases, the signal‐to‐noise ratio (SNR) deteriorates. This paper describes an adaptive peak detector (APD), a data analysis system capable of detecting peaks at low SNRs.
Stephen A. Dyer +2 more
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Free Energy Adjusted Peak Signal to Noise Ratio (FEA-PSNR) for Image Quality Assessment
Sensing and Imaging, 2017Peak signal to noise ratio (PSNR), the de facto universal image quality metric has been widely criticized as having poor correlation with human subjective quality ratings. In this paper, it will be illustrated that the low performance of PSNR as an image quality metric is partially due to its inability of differentiating image contents.
Ning Liu, Guangtao Zhai
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Image quality evaluation based on image weighted separating block peak signal to noise ratio
International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003, 2003Traditional objective image quality evaluation measures, such as the MSE or the PSNR, only represent the total difference between the original images and reconstructed images. However in some case, such as there are few large error pixels and many small error pixels in an image, they have not a consistent a result with subjective measure.
null Wang Yuanji +4 more
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