Efficient image transmission using transform-based compression techniques

  • Authors:

  • A. Alasaad;H. Behairy;M. Khorsheed

  • Affiliations:

  • Space Research Institute, King AbdulAziz City for Science and Technology(KACST), Riyadh, Saudi Arabia;Space Research Institute, King AbdulAziz City for Science and Technology(KACST), Riyadh, Saudi Arabia;Technology Development Center, King AbdulAziz City for Science and Technology(KACST), Riyadh, Saudi Arabia

  • Venue:
  • ACST'07 Proceedings of the third conference on IASTED International Conference: Advances in Computer Science and Technology
  • Year:
  • 2007

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Abstract

We present a system for still image transmission over noisy satellite channels. The system couples image compression together with error control codes to improve the received image quality while maintaining its bandwidth requirements. In this paper we extend our previous work on Discrete Cosine Transform (DCT) based image compression in noisy channels. We evaluate the performance of Discrete Wavelet Transform (DWT) based image compression and compare it to its equivalent DCT-based. We show how DWT-based image compression outperforms DCT-based both in noise-free and noisy channels. We also show how using a class of Forward Error Correction called Parallel Concatenated Gallager Codes (PCGC) can significantly improve the quality of the transmitted image in noisy channels. Despite the bandwidth expansion caused by introducing PCGC, the protected image occupies a smaller bandwidth now by compressing the image before applying PCGC. Evaluation results show improvement in the over-all system including bandwidth requirements compared to similar systems with different coding schemes.