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Design and realization of local peak signal-to-noise ratio based transparent watermarking testing model

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
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   +4 more
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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
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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

Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image

IETE Journal of Research, 2009
AbstractThis paper proposes a new approach to enhance peak signal to noise ratio of highly corrupted image affected by impulse noise. The proposed technique is implemented using an adaptive median Alter and the bacterial foraging optimization (BFO) technique.
KM Bakwad   +5 more
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
Abstract 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
Craik, D. J.   +2 more
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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
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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

No-reference peak signal to noise ratio estimation based on generalized Gaussian modeling of transform coefficient distributions

Optical Engineering, 2012
We present a no-reference peak signal to noise ratio (PSNR) estimation algorithm based on discrete cosine transform (DCT) coefficient distributions from H.264/MPEG-4 part 10 advanced video codec (H.264/AVC) bitstreams. To estimate the PSNR of a compressed picture without the original picture on the decoder side, it is important to model the ...
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Exceptional-point-based accelerometers with enhanced signal-to-noise ratio

Nature, 2022
Rodion Kononchuk   +2 more
exaly  

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