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为了在提高重建图像质量的同时不增加系统开销,提出一种将改进的图像平滑与加权零块判决准则结合的算法。图像增强能有效去除在获取原始图像阶段引入的随机脉冲噪声、Gauss噪声及其混合噪声,但增加了系统开销,视频编码巨大的运算量往往成为实时应用的瓶颈之一。该算法利用改进的MTM(modifiedtrimmedmean)方法提高图像质量,利用加权零块判决准则保持系统性能。以H.264算法为仿真平台进行测试。结果表明:中低码率时,在不增加系统计算开销的前提下,获得同等质量图像,码率可降低50%。
In order to improve the quality of the reconstructed image without increasing the system overhead, an algorithm is proposed to combine the improved image smoothing with the weighted zero block decision criterion. Image enhancement can effectively remove the random impulse noise, Gauss noise and mixed noise introduced during the original image acquisition, but increases the system overhead. The huge amount of computation of video coding often becomes one of the bottlenecks in real-time applications. The improved MTM (modifiedtrimmedmean) method is used to improve the image quality, and the weighted nullity criterion is adopted to keep the system performance. H.264 algorithm as a simulation platform for testing. The results show that the code rate can be reduced by 50% when the code rate is low and the system gain is not increased.