结合MPEG-2系统特点和人的视觉特性,研究了评价运动图像质量的两个失真量:三维加权信噪比(WSNR)和三维加权块效应(WBSNR).实验表明,加权后的客观测试指标,较物理峰值信噪比(PSNR),与主观评价结果的相关性更高.
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最后提出了一种改进的评价方法——视觉加权信噪比模型(VWSNR)。
Finally, an improved algorithm of image quality assessment is presented, which is Vision and Weighted Signal-to-Noise Ratio (VWSNR).
提出了整帧信噪比分段加权法，在低信噪比的情况下，提高系统的识别率。
Proposing a segment weight method of the whole SNR which can improves the identification ratio under the lower SNR circumstance.
采用距离分段加权技术，可以减小加权引起的信噪比损失，从而提高了雷达的作用距离。
Range subsection weighting technology is used to minish SNR loss caused by weighting, so as to increase radar range.
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