论文部分内容阅读
为了提高H.264中帧内预测压缩编码效率,提出一种适于航空面阵CCD相机应用的H.264的新的帧内预测模式。其基本思想为:一个块中的每个像素预测值使用周围像素和权重采用一个N阶线性预测器计算得到,而权重值是由重构像素中与待编码像素的邻近块计算得到,可参考的邻近块使用l1范数评估。而权重值并不需要传输到解码器中而耗用大量时间。在H.264参考软件JM17.6上的实验结果表明,本文提出的帧内预测算法具有很好的率失真(RD)性能,与标准H.264帧内预测算法比较,对于图像而言,PSNR增加了0.57~0.17dB,比特率减少了9.71~3.94%;对于CIF格式视频序列,PSNR增加了0.05~0.14dB,比特率减少了1.23~1.52%;对于720p50格式视频序列,PSNR增加了0.01~0.05dB,比特率减少了0.25~0.47%。因此,本文算法非常适于航空面阵CCD相机的应用。
In order to improve the intra-frame prediction compression coding efficiency in H.264, a new intra-frame prediction mode suitable for the application of aero plane area CCD camera is proposed. The basic idea is that each pixel prediction value in one block is calculated by using an Nth-order linear predictor using the surrounding pixels and weights, and the weight value is calculated from the neighboring blocks in the reconstructed pixel and the pixel to be encoded. Adjacent blocks are evaluated using the l1 norm. The weight value does not need to be transmitted to the decoder and consume a lot of time. The experimental results on the H.264 reference software JM17.6 show that the proposed intra prediction algorithm has good rate-distortion (RD) performance. Compared with the standard H.264 intra-frame prediction algorithm, the PSNR The bit rate is reduced by 9.71% ~ 3.94% with the increase of 0.57 ~ 0.17dB. For the CIF format video sequence, the PSNR increases by 0.05 ~ 0.14dB and the bit rate decreases by 1.23 ~ 1.52%. For 720p50 format video sequences, PSNR increases by 0.01 ~ 0.05dB, bit rate reduced by 0.25 ~ 0.47%. Therefore, the proposed algorithm is very suitable for the application of aero plane array CCD camera.