A wavelet domain diversity method for transmission of images over wireless channels

We propose a wavelet domain diversity combining method to combat errors during image transmission on wireless channels. For images represented in the wavelet domain, diversity is used to obtain multiple data streams corresponding to the transmitted image at the receiver. These individual image data streams are combined to form a composite image with higher perceptual quality. Both uncompressed and compressed images are considered. The SPIHT algorithm is used for image compression. Diversity combining methods for both uncompressed and compressed images exploit the characteristics of the wavelet transform. For compressed images, unequal error protection is employed in conjunction with diversity combining. Simulation results demonstrate that the quality of the received image can be significantly improved.

[1]  Nasser M. Nasrabadi,et al.  Subband coding with multistage VQ for wireless image communication , 1995, IEEE Trans. Circuits Syst. Video Technol..

[2]  A.R.K. Sastry,et al.  Models for channels with memory and their applications to error control , 1978, Proceedings of the IEEE.

[3]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[4]  Pamela C. Cosman,et al.  Combined forward error control and packetized zerotree wavelet encoding for transmission of images over varying channels , 2000, IEEE Trans. Image Process..

[5]  Peter J. Burt,et al.  Enhanced image capture through fusion , 1993, 1993 (4th) International Conference on Computer Vision.

[6]  A.K. Khandani,et al.  Combined source-channel coding for the transmission of still images over a code division multiple access (CDMA) channel , 1997, Proceedings of ICC'97 - International Conference on Communications.

[7]  Jin-Jang Leou,et al.  Detection and correction of transmission errors in JPEG images , 1998, IEEE Trans. Circuits Syst. Video Technol..

[8]  Jim Chou,et al.  The role of arithmetic coding based continuous error detection in digital transmission systems , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

[9]  Fady Alajaji,et al.  An error resilient scheme for image transmission over noisy channels with memory , 1998, IEEE Trans. Image Process..

[10]  Kannan Ramchandran,et al.  Efficient hybrid framework for wireless image transmission , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[11]  Jianhua Lu,et al.  Efficient image transmission over wireless channels , 1997, Proceedings of 1997 IEEE International Symposium on Circuits and Systems. Circuits and Systems in the Information Age ISCAS '97.

[12]  Wenjun Zeng,et al.  Geometric-structure-based directional filtering for error concealment in image/video transmission , 1995, Other Conferences.

[13]  Susumu Yoshida,et al.  Error control for still image transmission over a fading channel , 1995, 1995 IEEE 45th Vehicular Technology Conference. Countdown to the Wireless Twenty-First Century.

[14]  Kannan Ramchandran,et al.  Image transmission using arithmetic coding based continuous error detection , 1998, Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225).

[15]  E. J. Weldon,et al.  Evaluation of the performance of error-correcting codes on a Gilbert channel , 1995, IEEE Trans. Commun..

[16]  William A. Pearlman,et al.  A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..

[17]  Vijitha Weerackody,et al.  Transmission of JPEG-coded images over wireless channels , 1996, Bell Labs Technical Journal.

[18]  Sheila S. Hemami,et al.  Reconstruction-optimized lapped orthogonal transforms for robust image transmission , 1996, IEEE Trans. Circuits Syst. Video Technol..

[19]  R.E. Van Dyck,et al.  Wavelet video transmission over tactical wireless channels , 1996, Proceedings of First International Workshop on Wireless Image/Video Communications.

[20]  E. J. Weldon,et al.  Evaluation of the performance of error-correcting codes on a Gilbert channel , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[21]  Teresa H. Meng,et al.  Portable video-on-demand in wireless communication , 1995, Proc. IEEE.

[22]  Amy R. Reibman,et al.  An error concealment algorithm for images subject to channel errors , 1995, IEEE Trans. Image Process..

[23]  Tsz-Mei Ko,et al.  Turbo-codes used for compressed image transmission over frequency selective fading channel , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[24]  Michael T. Orchard,et al.  Multiple description image coding for noisy channels by pairing transform coefficients , 1997, Proceedings of First Signal Processing Society Workshop on Multimedia Signal Processing.

[25]  Kenneth Zeger,et al.  Error protection for progressive image transmission over memoryless and fading channels , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[26]  Jiebo Luo,et al.  Analysis of a wavelet-based compression scheme for wireless image communication , 1996, Defense + Commercial Sensing.

[27]  E. O. Elliott.  Estimates of error rates for codes on burst-noise channels , 1963 .

[28]  B. S. Manjunath,et al.  Multisensor Image Fusion Using the Wavelet Transform , 1995, CVGIP Graph. Model. Image Process..

[29]  V. Weerackody,et al.  ARQ schemes with switched antenna diversity and their applications in JPEG image transmission , 1995, Proceedings of GLOBECOM '95.

[30]  Xiaofan Fei,et al.  Turbo-codes used for compressed image transmission over Rayleigh fading channel , 1997, Proceedings of ICUPC 97 - 6th International Conference on Universal Personal Communications.

[31]  E. Gilbert.  Capacity of a burst-noise channel , 1960 .