Analysis of video coding standards using PSNR and bit rate saving

2015 International Conference on Signal Processing and Communication Engineering Systems Pub Date : 2015-03-12 DOI:10.1109/SPACES.2015.7058271

B. Prabhakar, D. Reddy

引用次数: 5

Abstract

This paper mainly deals with the performance comparison of several video coding standards by means of peak signal-to-noise ratio and subjective testing like Rate Distortion (RD) curves and average bit-rate savings. A particular procedure is applied for the video coding standards H.265/High Efficiency Video Coding (HEVC), H.264/MPEG4- Advance Video Coding (AVC), MPEG4V2, MPEG4 and the Google video codec's such as VP8, VP9 at different bit-rates and Peak Signal-to-Noise Ratios (PSNR) are estimated. The bit-rate reduction on an average is achieved about 50% for comparable to earlier video coding standards. The results obtained illustrate the H.265/HEVC achieving high peak signal-to-noise at low bit rates. This resembles high coding efficiency, comparing with lower versions of video coding standards.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

基于PSNR和比特率节约的视频编码标准分析

本文主要通过峰值信噪比、率失真曲线、平均比特率节约等主观测试，对几种视频编码标准进行性能比较。对H.265/高效视频编码(HEVC)、H.264/MPEG4-高级视频编码(AVC)、MPEG4V2、MPEG4和谷歌视频编解码器VP8、VP9等不同码率和峰值信噪比(PSNR)下的视频编码标准进行了具体的计算。与早期的视频编码标准相比，比特率平均降低了约50%。结果表明，H.265/HEVC在低比特率下实现了峰值信噪比。与较低版本的视频编码标准相比，这类似于高编码效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

2015 International Conference on Signal Processing and Communication Engineering Systems

自引率

0.00%

发文量

期刊最新文献

BTSWASH: Brain tumour segmentation by water shed algorithm Path loss prediction analysis by ray tracing approach for NLOS indoor propagation Enhancing the performance of AOA estimation in wireless communication using the MUSIC algorithm Preventing black hole attacks in MANETs using secure knowledge algorithm Redundancy based WEP routing technology (IoT-WSN)