摘要
失真-量化(D-Q)在视频编码率失真模型中起着关键作用,对主流D-Q模型进行了梳理,对这些模型的准确度和复杂度进行了详细对比,并分析它们各自适用的场合。通过模型验证,发现基于柯西分布的D-Q模型复杂度最低,但是准确度跟其他模型相比略低,就此问题对基于柯西分布的D-Q模型做了改进,以提高模型的精确度,使其更好地应用在率失真优化模式选择和码率控制的算法优化中。
Rate-Quantization （D-Q） plays an important role in rate distortion optimization model. In this paper, basing on an in-depth analysis on mainstream D-Q models, a fair comparison on accuracy and complexity for these models is given. It is proved that the model based Cauchy Distribution has the lowest complexity, but accuracy is lower than other models. Thus, the D-Q model based on Cauchy distribution is improved to increase accuracy and to make it better to be used in rate control and rate-distortion optimization.
出处
《电视技术》
北大核心
2012年第17期20-22,25,共4页
Video Engineering
基金
国家自然科学基金项目(NSFC60802025)
浙江省自然科学基金项目(ZJNSF Y1110114)
复旦大学ASIC国家重点实验室开放课题(10KF010)
