Results 251 to 260 of about 697,010 (291)

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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JPEG Image Compression Using Multiple Core Strategy in FPGA achieving High Peak Signal to Noise Ratios

2021 International Congress of Advanced Technology and Engineering (ICOTEN), 2021
Field Programmable Gate Arrays are increasingly becoming an integral part of modern embedded system designs because of their ease of implementation, flexibility and unparalleled processing power capability. Taking into consideration these capabilities, a compression algorithm has been implemented on an FPGA (Xilinx Spartan 3A 3400 Kit) while the ...
Umar Anjum, Ahmed Hussain, Channa Babar Ali, Umer Afzal, Israr Hussain, Abdulfattah Noorwali, Syed Aziz Shah   +6 more
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A Study of the Perceptually Weighted Peak Signal-To-Noise Ratio (WPSNR) for Image Compression

2019 IEEE International Conference on Image Processing (ICIP), 2019
The peak signal-to-noise ratio (PSNR) is the most used objective measure for assessing perceptual image quality when it comes to image and video compression tasks, despite the fact that it exhibits weak performance in reflecting human perception. To address this problem, many image quality assessment (IQA) methods were proposed, e. g.
Johannes Erfurt, Christian R. Helmrich, Sebastian Bosse, Heiko Schwarz, Detlev Marpe, Thomas Wiegand   +5 more
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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
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An Automated Algorithm of Peak Recognition Based on Continuous Wavelet Transformation and Local Signal-to-Noise Ratio

Applied Spectroscopy, 2017
Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak recognition is a very essential part of spectral analysis. The fully automated peak recognition is convenient in practical application. A fully automated Raman peaks recognition algorithm based on continuous wavelet transformation and local signal-to-noise ratio ...
Fang, Qian, Yihui, Wu, Peng, Hao
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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, null Chen Qixiang, null Zhang Qi   +2 more
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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, 孙强 Sun Qiang, 刘英 Liu Ying, 梁静秋 Liang Jingqiu, 刘兵 Liu Bing   +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, Jigar Kumar Mori, Keisham Pritamdas, Mohammad Ismaeil, Ratishchandra Huidrom   +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, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran   +2 more
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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, SS Pattnaik, BS Sohi, S Devi, BK Panigrahi, SastryV. R. S. Gollapudi   +5 more
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