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作 者:黄贺焜 吴林煌[1] 蔡江震 HUANG Hekun;WU Linhuang;CAI Jiangzhen(School of Advanced Manufacturing,Fuzhou University,Quanzhou 362200,China)
出 处:《电视技术》2023年第12期49-54,59,共7页Video Engineering
摘 要:提出一种数字音视频编解码技术标准(Audio Video coding Standard,AVS)浅压缩模式决策算法的硬件实现方案,为面向低延时的浅压缩场景提供更加适配的编码方案,并减少使用的硬件资源。该方案通过计算不同预测模式下编码当前像素块所需的比特代价和不同预测模式下重建像素块与原始块的绝对误差和(Sum of Absolute Difference,SAD)值,快速决策出最优的预测模式,提高了系统的效率和稳定性,使得系统在图像质量和处理速度两个方面都能够得到良好的性能,有效改善面向低延时浅压缩场景的编码效果,更好地满足实际应用需求。In this paper,a hardware implementation scheme of shallow compression mode decision algorithm of Audio Video coding Standard(AVS)is proposed to provide a more suitable coding scheme for shallow compression scenarios with low latency and reduce the use of hardware resources.By calculating the bit cost required to encode the current pixel block under different prediction modes and the Sum of Absolute Difference(SAD)between the reconstructed pixel block and the original pixel block under different prediction modes,the scheme quickly decides the optimal prediction mode,which improves the efficiency and stability of the system.The system can achieve good performance in both image quality and processing speed,effectively improve the coding effect for low-delay shallow compression scenes,and better meet the needs of practical applications.
关 键 词:浅压缩 模式决策 比特代价 绝对误差和(SAD)
分 类 号:TP311.1[自动化与计算机技术—计算机软件与理论]
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