一种用于mb级质量控制的dct域失真新模型

Xun He, Xianmin Chen, Peilin Liu, S. Goto
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引用次数: 1

摘要

对于视频监控和数字电影等许多应用来说,希望对视频内容进行编码,使其具有恒定的视频质量。然而,尽管在视频编码器中采用了恒定的量化参数,但宏块级的质量波动仍然很大,PSNR的标准差通常在1.8dB左右。针对DCT系数量化过程中引入失真的问题,提出了一种新的DCT域失真模型,该模型利用量化过程中截断的尾比特来估计宏块级的失真,每个块的QP由估计的PSNR确定。实验结果表明,我们提出的模型可以在量化前准确估计出每个MB的失真,相应的RMSE仅为0.3dB左右(小于实际值的1%)。与以往的工作相比,我们提出的算法在质量稳定方面可以提高0.57dB。
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A New DCT-Domain Distortion Model for MB-Level Quality Control
For many applications like video surveillance and digital cinema, it is desirable to encode video content with constant video quality. However, although constant quantization parameter is used in video encoder, quality fluctuation in macroblock level is still very large and standard deviation of PSNR is typically about 1.8dB. Since distortion is introduced in the process of quantization of DCT coefficients, we propose a new DCT-domain distortion model which utilizes the truncated tailing bits in quantization to estimate distortion in macroblock level, and QP of each block is determined by the estimated PSNR. Experimental results show that our proposed model can accurately estimate distortion of each MB before implementing quantization and the corresponding RMSE is only about 0.3dB (less than 1% of the actual value). Compared with previous works, our proposed algorithm can achieve 0.57dB enhancement in quality stabilization.
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