Robust image transmission using a new joint source channel coding algorithm and dual adaptive OFDM

被引:3
|
作者
Masoud, F [1 ]
Cho, S [1 ]
Pearlman, WA [1 ]
机构
[1] Rensselaer Polytech Inst, Ctr Image Proc Res, Dept Elect Comp & Syst Engn, Troy, NY 12180 USA
关键词
SPIHT; OFDM; robust image transmission;
D O I
10.1117/12.524906
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper we consider the problem of robust image coding and packetization for the purpose of communications over slow fading frequency selective channels and channels with a shaped spectrum like those of digital subscribe lines (DSL). Towards this end, a novel and analytically based joint source channel coding (JSCC) algorithm to assign unequal error protection is presented. Under a block budget constraint, the image bitstream is de-multiplexed into two classes with different error responses. The algorithm assigns unequal error protection (UEP) in a way to minimize the expected mean square error (MSE) at the receiver while minimizing the probability of catastrophic failure. In order to minimize the expected mean square error at the receiver, the algorithm assigns unequal protection to the value bit class (VBC) stream. In order to minimizes the probability of catastrophic error which is a characteristic of progressive image coders, the algorithm assigns more protection to the location bit class (LBC) stream than the VBC stream. Besides having the advantage of being analytical and also numerically solvable. the algorithm is based on a new formula developed to estimate the distortion rate (D-R) curve for the VBC portion of SPIHT. The major advantage of our technique is that the worst case instantaneous minimum peak signal to noise ratio (PSNR) does not differ greatly from the averge MSE while this is not the case for the optimal single stream (UEP) system. Although both average PSNR of our method and the optimal single stream UEP are about the same, our scheme does not suffer erratic behavior because we have made the probability of catastrophic error arbitarily small. The coded image is sent via orthogonal frequency division multiplexing (OFDM) which is a known and increasing popular modulation scheme to combat ISI (Inter Symbol Interference) and impulsive noise. Using dual adaptive energy OFDM, we use the minimum energy necessary to send each bit stream at a particular probability of bit error. An added benefit of OFDM over serial transmission schemes is that some degree of progressiveness of SPIHT is preserved by transmitting both the VBC and LBC streams in parallel.
引用
收藏
页码:636 / 646
页数:11
相关论文
共 50 条
  • [31] Joint source-channel coding based on adaptive wavelet pretreatment for image transmission over frequency selective fading channel
    Guo, Rui
    Zhou, Pino
    Liu, Ji-Lin
    2006 IEEE INTERNATIONAL CONFERENCE ON INFORMATION ACQUISITION, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2006, : 1411 - 1415
  • [32] Analog Joint Source Channel Coding for Wireless Optical Communications and Image Transmission
    Romero, Sergio Matiz
    Hassanin, Mohamed
    Garcia-Frias, Javier
    Arce, Gonzalo R.
    JOURNAL OF LIGHTWAVE TECHNOLOGY, 2014, 32 (09) : 1654 - 1662
  • [33] Joint source-channel coding for image transmission over noisy channels
    Su, YJ
    Lu, JH
    Wang, J
    Gu, J
    2000 INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY PROCEEDINGS, VOLS. I & II, 2000, : 136 - 139
  • [34] Joint source and channel coding for image transmission over time varying channels
    Cao, Lei
    2007 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-14, 2007, : 2660 - 2664
  • [35] Deep Joint Source-Channel Coding for Image Transmission With Visual Protection
    Xu, Jialong
    Ai, Bo
    Chen, Wei
    Wang, Ning
    Rodrigues, Miguel
    IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING, 2023, 9 (06) : 1399 - 1411
  • [36] Joint source and channel coding for image transmission over lossy packet networks
    Davis, G
    Danskin, J
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XIX, 1996, 2847 : 376 - 387
  • [37] Joint source-channel coding based on adaptive wavelet pretreatment for image transmission over frequency selective fading channel
    Guo, Rui
    Liu, Ji-Lin
    SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS, 2006, 4247 : 929 - 936
  • [38] Adaptive Joint Source-Channel Coding Using Multilevel codes for Unequal Error Protection and Hierarchical Modulation for SPIHT Image Transmission
    Ben Abdallah, Asma
    Zribi, Amin
    Dziri, Ali
    Tlili, Fethi
    Terre, Michel
    2019 IEEE 19TH MEDITERRANEAN MICROWAVE SYMPOSIUM (MMS 2019), 2019,
  • [39] Robust image transmission using source adaptive modulation with diversity
    Kleider, JE
    Abousleman, GP
    ICECS 2000: 7TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS & SYSTEMS, VOLS I AND II, 2000, : 529 - 532
  • [40] Joint source-channel coding using structured oversampled filters banks applied to image transmission
    Gabay, A
    Rioul, O
    Duhamel, P
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 2581 - 2584