Cubic Video Coding using 3-D Wavelet Transform

在这项研究中，我们提出了一种新的基于相位运动估计的三维视频编码方案，以及新的三维EZW-IP编码器。在MPEGIH.26x等传统的视频编码方法中，采用了运动估计和DCT变换的混合编码方案。然而，实际上，这些方法只使用了几帧的时间相关性。我们在这里注意到，并旨在使用更多的时间相关性来减少冗余度。基于相位的运动补偿方法有效地补偿了连续帧之间的运动。此外，在该方法中，不需要为每一幅输入图像逐帧准备参考图像。收集了8个预测误差帧，并生成了一个立方体。并采用三维EZW-IP方法进行编码。我们的编码方案具有精确的码率控制、质量和分辨率可伸缩性、渐进传输和良好的压缩性能等特点，并提出了一种新的基于相位相关的四叉树结构运动估计方法来减小预测误差。在传统的视频编码方案中，它们使用块匹配(BM)运动补偿和频率变换。然而，传统的BM方法在运动补偿部分存在计算量大的问题。我们的目标是减少计算时间，并提出一种新的四叉树结构的相位相关运动估计。相位相关法比BM法具有更高的计算效率。四叉树层次结构不仅减少了运动补偿误差，而且降低了计算复杂度。通过实例验证，与BM方法相比，本文提出的方法具有较好的压缩性能和较少的计算次数。

In this research, we present a new three dimensional video coding scheme based on a Phase-based motion estimation, and new three dimensional EZW-IP coder. In the conventional video coding methods like MPEGIH.26x, hybrid coding scheme using motion estimation and DCT transform is adapted. However actually, these methods use only the temporal correlation of several frames. We pay attention here, and aimed to use much more temporal correlation to reduce the redundancy. The motions between successive frames are compensated effectively by phase-based motion compensation method. Moreover, it is not necessary to prepare the reference image for each input image frame by frame in this proposed method. 8 predicted-error frames are collected, and one CUBE is generated. And it is encoded by 3-D EZW-IP method. Our coding scheme provides some desirable features including exact bit-rate control, quality and resolution scalability, progressive transmission, and good compression performance.Furthermore, we propose a new quadtree-structured motion estimation method based on a phase correlation to reduce the prediction error. In the conventional video coding scheme, they use block-matching(BM) motion compensation and the frequency transform. However the problem of the conventional BM method in the part of motion compensation is the computational demanding task. We aim to reduce the computational times and present a novel quadtree-structured phase correlation motion estimation. Phase correlation method is very computationally efficient than the BM method. Quadtree hierarchy scheme reduces not only motion compensation errors but also the computational complexity. Through some examples, our proposed method provides a good compression performance and reduction of computational times as compared to BM method.