Results 161 to 170 of about 91,646,978 (197)

An adaptive detection system for Raman spectral peaks at low signal‐to‐noise ratios

Journal of Raman Spectroscopy, 1984
AbstractRaman 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, David S. Hardin, Eugene B. Bradley   +2 more
openaire   +1 more source

Parametric studies of matched filters to enhance the signal-to-noise ratios of LC–MS–MS peaks

Analytica Chimica Acta, 2006
Chromatographic 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, Shu-Min, Chiang, Chih-Min, Huang   +2 more
openaire   +2 more sources

APSNR: Artifact Peak Signal-to-Noise Ratio for Image Quality Assessment

IEEE Transactions on Image Processing
An image processing pipeline typically involves key operations like compression, denoising, and resizing, along with enhancements such as sharpening, histogram equalization, and low-light compensation. Within this pipeline, image artifacts are often introduced, which could severely degrade perceptual quality and mislead downstream vision tasks.
Li Zhu, Baojiang Zhong, Kai-Kuang Ma
openaire   +3 more sources

Estimation of the peak signal-to-noise ratio for compressed video based on generalized Gaussian modeling

Optical Engineering, 2007
The peak signal-to-noise ratio (PSNR) is one of the most popular video quality metrics. This ratio is computed using both original and processed images. We propose a new method to estimate the PSNR from an encoded bit stream without using original video sequences.
Jihwan Choe, Chulhee Lee
openaire   +1 more source

Improved method for predicting the peak signal-to-noise ratio quality of decoded images in fractal image coding

Journal of Electronic Imaging, 2017
To predict the peak signal-to-noise ratio (PSNR) quality of decoded images in fractal image coding more efficiently and accurately, an improved method is proposed. After some derivations and analyses, we find that the linear correlation coefficients between coded range blocks and their respective best-matched domain blocks can determine the dynamic ...
Qiang Wang 0003, Sheng Bi
openaire   +2 more sources

Uniform Speech-Peak Clipping in a Uniform Signal-to-Noise Spectrum Ratio

The Journal of the Acoustical Society of America, 1949
A graphical function W(r, c) has been determined experimentally, in which W is word articulation, r is the relative level of unclipped speech and the noise, and c is the amount of uniform, symmetrical, speech-peak clipping. Pre-emphasis of the speech signal gave an approximately uniform speech spectrum prior to clipping. Uniform, random noise was mixed
openaire   +1 more source

Effect of signal-to-noise ratio on the measurement of individual T1 values from superimposed peaks

Journal of Magnetic Resonance (1969), 1991
Spectra of complex organic molecules or biological macromolecules often contain peaks which are severely overlapped or superimposed. It is not readily apparent to what extent relaxation data for individual peak components may be extracted. In this paper, one- and two-component analyses of simulated relaxation data are carried out in order to determine ...
Craik, D. J., Higgins, K. A., Shehan, B. P.   +2 more
openaire   +4 more sources

Adaptive image segmentation based on peak signal-to-noise ratio for a license plate recognition system

2010 International Conference on Computer Applications and Industrial Electronics, 2010
The objective of this paper is to propose an adaptive threshold method based on peak signal to noise ratio (PSNR). Nowadays, PSNR has been widely used as stopping criteria in multi level threshold method for segmenting images. Alternatively, we apply the PSNR as criteria to find the most suitable threshold value.
Farshid PirahanSiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran   +2 more
openaire   +1 more source

Free Energy Adjusted Peak Signal to Noise Ratio (FEA-PSNR) for Image Quality Assessment

Sensing and Imaging, 2017
Peak 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
openaire   +1 more source

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, 2003
Traditional 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, null Li Jianhua, null Lu Yi, null Fu Yao, null Jiang Qinzhong   +4 more
openaire   +1 more source