Taylor Series based RD trade-off and Laplace Correction based coding for HEVC encoder

Mahesh C. Pawaskar, G. Vijay
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Abstract

Digital video storing, video streaming and video conferencing are globally important industry which will continue to spread across the networks, businesses, and homes. Internet multimedia data like videos and images are the most frequently used digital format for information transmission. Video compression is the way to deliver more and higher quality video in a cost-effective way. Video coding process plays vital role to compress and decompress digital video. High Efficiency Video Coding (HEVC) is latest video compression standard which has potential to give better performance than any other standards like H.264. This paper proposes a novel video compression strategy to improve the quality of video without degradation. The newly devised RD tradeoff ensure mode decision effectively and the selection of the blocks optimally for motion estimation. Performance of proposed method is evaluated with the help of PSNR as well as SSIM, and it is compared with other two methods. Compression is done without affecting quality.
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基于泰勒级数的RD权衡和基于拉普拉斯校正的HEVC编码器编码
数字视频存储、视频流和视频会议是全球重要的行业,将继续在网络、企业和家庭中传播。视频和图像等互联网多媒体数据是最常用的信息传输数字格式。视频压缩是一种以经济有效的方式提供更多、更高质量视频的方法。视频编码过程在数字视频的压缩和解压缩中起着至关重要的作用。高效视频编码(HEVC)是最新的视频压缩标准,有可能比H.264等其他标准提供更好的性能。本文提出了一种新的视频压缩策略,以提高视频质量而不降低视频质量。新设计的RD权衡保证了运动估计中模式的有效决策和块的最优选择。利用PSNR和SSIM对该方法的性能进行了评价,并与其他两种方法进行了比较。压缩在不影响质量的情况下完成。
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