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Denoising swin transformer and perceptual peak signal-to-noise ratio for low-dose CT image denoising

Measurement: Journal of the International Measurement Confederation
Boyan Zhang, Yingqi Zhang, Fan Zhang
exaly   +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   +2 more sources

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.   +2 more
openaire   +3 more sources

Noise robust speech rate estimation using signal-to-noise ratio dependent sub-band selection and peak detection strategy

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
openaire   +3 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   +2 more
openaire   +1 more source

Peak Signal-to-Noise Ratio Formulas for Multistage Delta Modulation With RC-Shaped Gaussian Input Signals

Bell System Technical Journal, 1982
A multistage delta modulation (MSDM) encoder contains a number of delta modulation (DM) stages, where each delta modulator encodes the band-limited error of the previous delta modulator. The DM binary outputs are then multiplexed for transmission.
openaire   +2 more sources

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   +4 more
openaire   +1 more source

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

Compression technique by Analyzing Peak Signal to Noise Ratio value using various Machine Learning Algorithms

2024 Asian Conference on Intelligent Technologies (ACOIT)
M.S Saravanan   +2 more
exaly   +2 more sources

Fully pipelined and hardware efficient architecture to improve peak signal to noise ratio for real-time demosaicking

2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT), 2017
Demosaicking is used in real-time digital camera system. Digital camera captures images in the form of red, green and blue colors in a particular mosaic pattern by monochromatic detectors. So each pixel captures onlya single color among red, green and blue colors in the form of Bayer pattern. Demosaicking is the process of findingthe two unknown colors
Samarth Goyal   +4 more
openaire   +1 more source

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