摘要
分布式视频编码以其较低编码复杂度引起了人们广泛关注,边信息质量是影响其率失真性能的关键因素之一。针对采用固定图像组(GOP)结构不便于解码端充分利用帧间冗余,导致边信息生成质量降低,通过分析块纹理能量,判别其细节程度,提出自适应图像组结构方案,动态调整编码的时域结构。实验结果表明,在不增加编码复杂度的情况下,算法能有效改善系统性能,相比固定长度GOP模式,峰值信噪比(PSNR)平均提高1.8～2dB。
Distributed Video Code （DVC） has gained more attention due to its low encoding complexity.Side information is one of the key factors influencing the rate-distortion performance.However,the correlation noise statistics describing the relationship between the frame to be encoded and the side information available at the decoder is not spatially stationary,and fixed Group of Pictures （GOP） will result in quality degradation of the side information.An adaptive GOP was proposed,which checked the block detail-level by analyzing its texture energy and modified the temporal structure （i.e.the length of GOP）.The experimental results show that the proposed scheme can improve the overall performance and achieve the gain of Peak Signal-to-Noise Ratio （PSNR） about 1.8-2 dB compared with the fixed one,meanwhile maintaining a low encode complexity.
出处
《计算机应用》
CSCD
北大核心
2010年第5期1356-1358,共3页
journal of Computer Applications
基金
广东省自然科学基金资助项目(8351009001000002)
