Image coding with robust channel-optimized trellis-coded quantization

Lam, Tuyet-Trang; Abousleman, Glen P.; Karam, Lina J.

doi:10.1109/49.848248

Cited by 30 publications

(10 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1. The image coding algorithm used is a Channel Optimized TCQ [1] stage that is designed to optimize the image coding based on wireless channel characteristics. The encoded bitstream from the COTCQ stage thus obtained, s(k ), (k = 0, 1, .…”

Section: System Descriptionmentioning

confidence: 99%

“…We have used a wavelet based image coder, a COTCQ stage [1] as shown in Fig. 2, that has been designed to optimize the image coding based on wireless channel characteristics.…”

Section: A Cotcq Wavelet Image Codermentioning

confidence: 99%

“…The COTCQ, on the other hand, is error resilient at low SNRs and performs well in bandwidth constrained channels and also for wide variety of channel conditions. Earlier work on COTCQ [1] focuses on the image transmission over the binary symmetric channel (BSC) which has a constant bit error rate. In this paper, we concentrate on image transmission in wireless frequency selective fading channels.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Error-resilient image transmission system using COTCQ and space-time coded FS-OFDM

Methuku

Reisslein

IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004

View full text Add to dashboard Cite

Abstract-We present and evaluate a novel robust image transmission system for frequency selective fading channels. The system combines a wavelet image coder and space-time block codes (STBC) in conjunction with Fractional Sampling OFDM (FS-OFDM). Specifically, we employ an image coder based on channel optimized trellis coded quantization (COTCQ), which has not been previously studied for frequency selective fading channels. We demonstrate that our COTCQ coder based system both with (i) (2,2) STBC OFDM without fractional sampling, and (ii) (2,1) STBC with fractional sampling significantly outperforms a system employing trellis coded quantization (TCQ) and set partitioning in hierarchical trees (SPIHT) image coding in conjunction with (2,2) STBC OFDM at low channel signal-tonoise ratios (SNR). The usage of STBC over FS-OFDM systems improves the capacity and diversity achievable over the frequency selective fading channels. For a channel SNR of 9 dB, for instance, the peak signal-to-noise ratio (PSNR) of the Lenna image is over 2-4dB higher with our system. Importantly, the results demonstrate that the diversity gain obtained with a (2,1) STBC FS-OFDM system with low-complexity maximum ratio combining at the receiver can be translated into significant quality gains (in PSNR) in received images.

show abstract

Section: System Descriptionmentioning

confidence: 99%

“…We have used a wavelet based image coder, a COTCQ stage [1] as shown in Fig. 2, that has been designed to optimize the image coding based on wireless channel characteristics.…”

Section: A Cotcq Wavelet Image Codermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Error-resilient image transmission system using COTCQ and space-time coded FS-OFDM

Methuku

Reisslein

IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004

View full text Add to dashboard Cite

show abstract

“…Each subband is then classified into J classes by maximizing the classification gain. All resulting "subband-class" sequences are phase scrambled and quantized using fixed-rate channel-optimized trellis-coded quantization (COTCQ) [2]. CoTCQ codebooks are optimized for the memoryless Gaussian distribution, and are generated by using a training-sequence-based iterative algorithm.…”

Section: Introductionmentioning

confidence: 99%

Channel-optimized video coding for low-power wireless applications

Abousleman

Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery

Self Cite

View full text Add to dashboard Cite

This paper presents an error-robust channel-optimized coding algorithm for the transmission of low-rate video over wireless channels. The proposed coder uses a robust channel-optimized trellis-coded quantization (COTCQ) stage that is designed to optimize the image coding based on the channel characteristics. The resilience to channel errors is obtained without the use of channel coding or error concealment techniques. Additionally, a novel adaptive classification scheme is employed, which eliminates the need for motion compensation. The robust nature of the coder eliminates the appearance of impulsive channel-error-induced artifacts in the decoded video, while increasing the security level of the encoded bit stream. Consequently, the proposed channel-optimized video coder is especially suitable for low-power wireless applications due to its reduced complexity, its robustness to nonstationary signals and channels, and its increased security level. Simulation results show that our coder provides outstanding quantitative and subjective coding performance for a wide variety of channel conditions.

show abstract

“…Scrambling the sequences also brings a dramatic perceptual advantage since the impulsive noise is virtually eliminated. Finnally, we point out that the phase scrambler can be used with any quantizer, as for example, the trellis-coded quantizer used in [10]. We chose to use COSQ given its low complexity in comparison to the channel-optimized TCQ of [10].…”

Section: Robust Quantizationmentioning

confidence: 99%

Robust remote sensing still image coding with low memory requirements

Cunha

Finamore

Silva

IEEE International Geoscience and Remote Sensing Symposium

View full text Add to dashboard Cite

Abstract-An scheme for the efficient transmission of remote sensing satellite (RSS) images is presented in this paper. A joint source/channel coding solution was used to deal with the conflicting issues of data compression, to reduce the amount of data to be sent, and data protection, to cope with errors introduced by the channel, issues further burdened by the stringent low complexity and low memory requirements brought by the need for on-board compression. Results are presented showing that the proposed scheme attains good PSNR performance while still maintaining low complexity.

show abstract

Image coding with robust channel-optimized trellis-coded quantization

Cited by 30 publications

References 27 publications

Error-resilient image transmission system using COTCQ and space-time coded FS-OFDM

Error-resilient image transmission system using COTCQ and space-time coded FS-OFDM

Channel-optimized video coding for low-power wireless applications

Robust remote sensing still image coding with low memory requirements

Contact Info

Product

Resources

About