A MS-GS VQ codebook design for wireless image communication using genetic algorithms
A MS-GS VQ codebook design for wireless image communication using genetic algorithms
复制标题
使用遗传算法进行无线图像通信的 MS-GS VQ 码本设计
DOI：
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发表时间：
1999
影响因子：
14.3
通讯作者：
Sunha Ahn
中科院分区：
文献类型：
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作者：
Daijin Kim;Sunha Ahn
提出了一种图像压缩技术，该技术试图实现对无线图像通信中常见的传输比特错误的鲁棒性以及重建图像的足够的视觉质量。误差鲁棒性是通过使用双正交小波子带图像编码与多级增益形状矢量量化（MS-GS VQ），它使用三个阶段的信号分解，试图减少传输比特错误的影响，通过分配图像信息之间的许多块。通过将遗传算法应用于码本生成以产生优于常规技术的上级重构能力，获得了重构图像的良好视觉质量。建议的分解方案也支持使用遗传算法，因为分解减少了问题的大小。一些模拟评估所提出的编码方案的传输比特错误和重建图像的失真的性能。仿真结果表明，建议的MS-GS矢量量化与遗传算法设计的良好的码本不仅提供了更好的鲁棒性传输比特错误，但即使在高误码率条件下，也有更高的峰值信噪比。
An image compression technique is proposed that attempts to achieve both robustness to transmission bit errors common to wireless image communication, as well as sufficient visual quality of the reconstructed images. Error robustness is achieved by using biorthogonal wavelet subband image coding with multistage gain-shape vector quantization (MS-GS VQ) which uses three stages of signal decomposition in an attempt to reduce the effect of transmission bit errors by distributing image information among many blocks. Good visual quality of the reconstructed images is obtained by applying genetic algorithms (GAs) to codebook generation to produce reconstruction capabilities that are superior to the conventional techniques. The proposed decomposition scheme also supports the use of GAs because decomposition reduces the problem size. Some simulations for evaluating the performance of the proposed coding scheme on both transmission bit errors and distortions of the reconstructed images are performed. Simulation results show that the proposed MS-GS VQ with good codebooks designed by GAs provides not only better robustness to transmission bit errors but also higher peak signal-to-noise ratio even under high bit error rate conditions.