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A formulation approach with hybrid wavelet transform for high efficiency video coding

机译:一种混合小波变换的高效视频编码方法

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Joint Collaborative Team of Video Coding(JCT-VC)collectively refined HEVC as a emerging standard with the compliance of former H.264/AVC. During the HEVC encoding process, the macro blocks of input video file are defined in each frame, between frames the motion vectors are estimated to generate compensated image. By Transform coding frame residuals of inter and intra predictions of HEVC, which possess distinct characters which contemplate residual frame. The residual frame information is performed using transformation, quantization and entropy coder, and the encoded bit stream is decoded to reconstruct the original video. In this paper, by using parallel transformation technique, the residual frame encoding and decoding is implemented for the improvement of HEVC. The results are presented with the use of proposed parallel transformation technique in the framework of the HEVC with algorithm-1 and algorithm-2 approach and performance results of our implementation shown better results in video quality metrics. Considering with the use of these two algorithms on HEVC transform, the performance analysis of PSNR is improved with existing Wavelet Transform.
机译:视频编码联合协作团队(JCT-VC)统一完善了HEVC,使其成为符合以前H.264 / AVC的新兴标准。在HEVC编码过程中,在每个帧中定义输入视频文件的宏块,在帧之间估计运动矢量以生成补偿图像。通过变换编码HEVC的帧间和帧内预测的帧残差,其具有考虑残帧的不同特征。使用变换,量化和熵编码器来执行残余帧信息,并且对编码的比特流进行解码以重建原始视频。本文采用并行变换技术,对残差帧进行编解码,以改善HEVC。通过在HEVC的框架中使用算法1和算法2的方法使用建议的并行转换技术来呈现结果,并且我们实现的性能结果在视频质量指标中显示出更好的结果。考虑到在HEVC变换上使用这两种算法,可以通过现有的小波变换改进PSNR的性能分析。

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