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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

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

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.
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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
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

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 ...
Ji-Woo Ryu   +3 more
openaire   +1 more source

Improving The Compression Ratio And Peak Signal To Noise Ratio Of Medicalimage Sequence By Using Spiht, Stw, And Block Matching Algorithms

i-manager's Journal on Image Processing, 2018
This paper is based on Medical image sequence compression. In this paper, the author has compared two lossless compression techniques, viz. Set Partitioning in Hierarchical Tree (SPIHT) and Spatial Orientation Tree Wavelet (STW) with Block matching algorithms, Diamond Search (DS) and Adaptive Rood Pattern Search (ARPS).
openaire   +1 more source

Weighted stacking of up-and down-going RTM images using peak signal-to-noise ratio analysis

International Meeting for Applied Geoscience & Energy
This work introduces a new method for improving seismic imaging in deepwater environments by combining reverse time migration (RTM) images using peak signal-to-noise ratio (PSNR) analysis. The proposed approach exploits local PSNR values as similarity/dissimilarity weights to combine RTM generated seismic images of up-going primaries and down going ...
Sérgio Luiz E. F. da Silva   +5 more
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  

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