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Applied Spectroscopy, 2017
Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak recognition is a very essential part of spectral analysis. The fully automated peak recognition is convenient in practical application. A fully automated Raman peaks recognition algorithm based on continuous wavelet transformation and local signal-to-noise ratio ...
Yihui Wu
exaly +3 more sources
Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak recognition is a very essential part of spectral analysis. The fully automated peak recognition is convenient in practical application. A fully automated Raman peaks recognition algorithm based on continuous wavelet transformation and local signal-to-noise ratio ...
Yihui Wu
exaly +3 more sources
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.
Guang-Tao Zhai
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2010 The 2nd Conference on Environmental Science and Information Application Technology, 2010
By analyzing the characteristics of image local peak signal-to-noise ratio and deciding the chaotic sequence by initial condition and parameters, we use chaotic sequence to generate the watermarking signal and locate the embedding position of watermark signal with chaotic encryption. We build transparent watermarking testing model and analyze the local
null Yan Cheng-hua +2 more
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By analyzing the characteristics of image local peak signal-to-noise ratio and deciding the chaotic sequence by initial condition and parameters, we use chaotic sequence to generate the watermarking signal and locate the embedding position of watermark signal with chaotic encryption. We build transparent watermarking testing model and analyze the local
null Yan Cheng-hua +2 more
exaly +2 more sources
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
Jaime Moreno 0001 +2 more
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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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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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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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A Study of the Perceptually Weighted Peak Signal-To-Noise Ratio (WPSNR) for Image Compression
2019 IEEE International Conference on Image Processing (ICIP), 2019The peak signal-to-noise ratio (PSNR) is the most used objective measure for assessing perceptual image quality when it comes to image and video compression tasks, despite the fact that it exhibits weak performance in reflecting human perception. To address this problem, many image quality assessment (IQA) methods were proposed, e. g.
Johannes Erfurt +5 more
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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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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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