Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Mobile Networks and Applications
Published in: Mobile Networks and Applications 2/2018

14-10-2017

Maximum a Posteriori Decoding for KMV-Cast Pseudo-Analog Video Transmission

Authors: Xiao-Wei Tang, Xiao-Ning Huan, Xin-Lin Huang

Published in: Mobile Networks and Applications | Issue 2/2018

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The existing noise in video/image will not only reduce visual quality, but also will adversely affect the subsequent processing as compression, encoding, transmission and storage. Hence, the denoising technology for video/image is significant in the whole media industry. In this paper, a maximum a posteriori (MAP) decoding for KMV-Cast pseudo-analog video transmission has been proposed to further eliminate the residual noise in the received video/image. First, a noise decomposition model based on multidimensional plane has been proposed. Then, the residual noise in KMV-Cast scheme has been shown to obey Gaussian distribution. Finally, the estimation of the residual noise has been derived for the purpose of maximizing the PSNR of the reconstructed video/image. The simulation results have shown that the proposed decoding method has the best performance compared with other two algorithms, such as KMV-Cast and SoftCast.
previous article Energy-Efficiency Maximization with Non-linear Fractional Programming for Intelligent Device-to-Device Communications
next article Editorial: Artificial Intelligence for Mobile Robotic Networks

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Show more products
Literature
1.
Cisco (2017) Cisco visual networking index: global mobile data traffic forecast update 2016–2021 white paper
2.
Chen S, Zhao J (2014) The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication. IEEE Commun Mag 52(5):36–43CrossRef
3.
Maggioni M, Sánchez-Monge E, Foi A (2014) Joint removal of random and fixed-pattern noise through spatiotemporal video filtering. IEEE Trans Image Process 23(10):4282–4296MathSciNetCrossRefMATH
4.
Malinski L, Smolka B (2016) Fast averaging peer group filter for the impulsive noise removal in color images. J Real-Time Image Proc 11(3):427–444CrossRef
5.
Wen B, Ravishankar S, Bresler Y (2015) Video denoising by online 3D sparsifying transform learning. In: Proceedings of ICIP, pp 118–122
6.
Lee HY, Hoo WL, Chan CS (2015) Color video denoising using epitome and sparse coding. Expert Syst Appl 42(2):751–759CrossRef
7.
Llordén GR, Ferrero G, Martin M (2015) Anisotropic diffusion filter with memory based on speckle statistics for ultrasound images. IEEE Trans Image Process 24(1):345–358MathSciNetCrossRef
8.
Mittal A, Moorthy AK, Bovik AC (2012) No-reference image quality assessment in the spatial domain. IEEE Trans Image Process 21(12):4695–4708MathSciNetCrossRefMATH
9.
Chen B, Xing L, Liang J, Zheng N, Principe JC (2014) Steady-state mean-square error analysis for adaptive filtering under the maximum correntropy criterion. IEEE Signal Process Lett 21(7):880–884CrossRef
10.
Kang X, Stamm MC, Peng A, Liu KR (2013) Robust median filtering forensics using an autoregressive model. IEEE Trans Inf Forensics Secur 8(9):1456–1468CrossRef
11.
Lu CT, Chou TC (2012) Denoising of salt-and-pepper noise corrupted image using modified directional-weighted-median filter. Pattern Recogn Lett 33(10):1287–1295CrossRef
12.
Zhang P, Li F (2014) A new adaptive weighted mean filter for removing salt-and-pepper noise. IEEE Signal Process Lett 21(10):1280–1283CrossRef
13.
Yang Q (2015) Stereo matching using tree filtering. IEEE Trans Pattern Anal Mach Intell 37(4):834–846CrossRef
14.
Horng SJ, Hsu LY, Li T, Qiao S, Gong X, Chou HH, Khan MK (2013) Using sorted switching median filter to remove high-density impulse noises. J Vis Commun Image Represent 24(7):956–967CrossRef
15.
Nasimudeen A, Nair MS, Tatavarti R (2012) Directional switching median filter using boundary discriminative noise detection by elimination. Signal, Image and Video Processing 6(4):613– 624CrossRef
16.
Naghizadeh M (2012) Seismic data interpolation and denoising in the frequency-wavenumber domain. Geophysics 77(2):71–80CrossRef
17.
Parrilli S, Poderico M, Angelino CV, Verdoliva L (2012) A nonlocal SAR image denoising algorithm based on LLMMSE wavelet shrinkage. IEEE Trans Geosci Remote Sens 50(2):606–616CrossRef
18.
Huang X-L, Wu J, Hu F (2017) Knowledge enhanced mobile video broadcasting (KMV-cast) framework with cloud support. IEEE Trans Circuits Syst Video Technol 27(1):6–18CrossRef
19.
Huang X-L, Tang X-W, Huan X-N, Wang P, Wun J (2017) Improved KMV-cast with BM3D denoising. Mobile Network and Application 1–8
20.
Jakubczak S, Katabi DA (2011) A cross-layer design for scalable mobile video. In: Proceedings of ACM mobicom, pp 289–300
Metadata
Title
Maximum a Posteriori Decoding for KMV-Cast Pseudo-Analog Video Transmission
Authors
Xiao-Wei Tang
Xiao-Ning Huan
Xin-Lin Huang
Publication date
14-10-2017
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 2/2018
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-017-0949-z

Other articles of this Issue 2/2018

Mobile Networks and Applications 2/2018 Go to the issue

OriginalPaper

MT-AAAU: Design of Monitoring and Tracking for Anti-Abuse of Amateur UAV

OriginalPaper

A Voting Aggregation Algorithm for Optimal Social Satisfaction

OriginalPaper

Energy-Efficiency Maximization with Non-linear Fractional Programming for Intelligent Device-to-Device Communications

OriginalPaper

emHealth: Towards Emotion Health Through Depression Prediction and Intelligent Health Recommender System

OriginalPaper

Botanical Internet of Things: Toward Smart Indoor Farming by Connecting People, Plant, Data and Clouds

OriginalPaper

Routing Algorithm with Virtual Topology Toward to Huge Numbers of LEO Mobile Satellite Network Based on SDN