Sch. of Electr. and Comput. Eng., Georgia Inst. of Technol., Atlanta, GA.
IEEE Trans Image Process. 1997;6(6):862-78. doi: 10.1109/83.585236.
This paper deals with new advances made in the field of discrete spatio-temporal filters applied to digital image sequences. Within time-varying images, the temporal correlation of the information is folded within the spatio-temporal domain by motions originating from both camera and object displacements. The spatio-temporal video information can be therefore reformulated in terms of motion trajectories and intensity variations along these trajectories. To yield that signal description, the spatio-temporal scenes will be segmented according to motion. Motion-compensated temporal filters have been used as convolutional filters applied along the assumed motion trajectories. Spectral interpretations show the efficiency of motion-compensated filtering for video signals. As a matter of fact, the whole signal analysis performed in this paper also includes a spatial filtering to achieve a complete spatio-temporal (2-D+T) decomposition. Motion-compensated filtering leads to multiresolution applications. It leads to optimum and adaptive signal-to-noise decomposition procedures based on the temporal correlative content. Such properties allow enhancing tasks like temporal interpolation, image sequence smoothing, and restoration. Simulation results are presented in this paper to illustrate the field of image sequence coding.
本文讨论了应用于数字图像序列的离散时空滤波器领域的新进展。在时变图像中，信息的时间相关性通过源自相机和物体位移的运动在时空域中折叠。因此，可以根据运动轨迹和沿这些轨迹的强度变化重新表述时空视频信息。为了得到这种信号描述，将根据运动对时空场景进行分割。运动补偿的时间滤波器已用作沿假定运动轨迹应用的卷积滤波器。谱解释表明了运动补偿滤波对于视频信号的有效性。事实上，本文中进行的整个信号分析还包括空间滤波，以实现完整的时空（2-D+T）分解。运动补偿滤波导致多分辨率应用。它基于时间相关内容导致最优和自适应的信噪比分解过程。这些特性允许增强诸如时间内插、图像序列平滑和恢复等任务。本文介绍了仿真结果，以说明图像序列编码领域。
