摘要
针对传统的图像传输方法,提出了一种基于人眼视觉系统的自适应图像传输方案。在OFDM系统中,通过将自适应技术与信源分割及信道特性相结合的方法,实现在频率选择性慢衰落信道中高质量的图像传输。为验证该方法的良好性能,三种不同图像源被用于仿真程序中。仿真结果及理论分析可以证明,自适应图像传输与传统的图像传输相比,可大幅地提高接收图像的峰值信噪比。
According to the conventional image transmission method, an adaptive image transmission scheme based on HVS in OFDM(Orthogonal Frequency Division Multiplexing) system over frequency selective slow fading channel was proposed in this paper. It combined adaptive sub-channel distribution technique with source partition and characteristics of fading channel to improve the quality of received image. In order to verify the good performance of the proposed method, three kinds of image were used in the simulations. Significant improvement in PSNR(Peak Signal Noise Ratio) of received image with adaptive image transmission relative to conventional one is demonstrated by the simulation results of three different image sources and theoretical analysis.
出处
《计算机应用》
CSCD
北大核心
2005年第2期335-337,340,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60372029)
