Results 271 to 280 of about 90,796,744 (298)

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

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.
openaire   +1 more source

Peak Detection Algorithm of Raman Spectra Based on Multi-Scale Local Signal-to-Noise Ratio

Acta Optica Sinica, 2014
Raman spectral peak recognition is one of the key technologies in qualitative analysis of Raman spectra. Due to the defects of low degree of automation and low recognition accuracy of the existing Raman spectral recognition methods, a new Raman peak recognition algorithm based on multi-scale local signal-to-noise ratio (MLSNR) is proposed.
姜承志 Jiang Chengzhi, 孙强 Sun Qiang, 刘英 Liu Ying, 梁静秋 Liang Jingqiu, 刘兵 Liu Bing   +4 more
openaire   +1 more source

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, Jigar Kumar Mori, Keisham Pritamdas, Mohammad Ismaeil, Ratishchandra Huidrom   +4 more
openaire   +1 more source

Enhancement of Raman Spectra Obtained at Low Signal-To-Noise Ratios: Matched Filtering and Adaptive Peak Detection

Applied Spectroscopy, 1985
Two methods of Raman spectral peak enhancement are described. The matched-filter approach employs an optimal filter to maximize the signal-to-noise ratio at its output. The impulse response of the matched filter is the reversed version of the profile of the spectral peak to be enhanced; therefore, the effectiveness of the matched filter depends on a ...
Stephen A. Dyer, David S. Hardin
openaire   +1 more source

Application of the R-Peak Detection Algorithm for Locating Noise in ECG Signals

Biomedical Signal Processing and Control, 2022
Tomáš Božo
exaly  

Automating LC–MS/MS Mass Chromatogram Quantification: Wavelet Transform Based Peak Detection and Automated Estimation of Peak Boundaries and Signal-to-Noise Ratio Using Signal Processing Methods.

Biomedical Signal Processing and Control, 2022
Kornelius Schmidt, Robert Miller, Sören Enge   +2 more
exaly  

BPSNR Blind Peak Signal-to-Noise Ratio.

Res. Comput. Sci., 2012
Jesús Jaime Moreno Escobar, Beatriz Adriana Jaime Fonseca   +1 more
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
Qiang Wang 0003, Sheng Bi
openaire   +2 more sources