Multiplexed Structural Image Capture (MUSIC) technique uses modulation of light from a scene prior to imaging to encode the temporal evolution of target into spatial frequency shifts, with each shift corresponding to a unique time and resulting in individual distinct snapshots. Computational-processing of the multiplexed single-shot image can recover the nanosecond-resolution scene evolution. One of the limitations is the loss of spatial resolution of the recovered image due to limitations of the low-pass spatial frequency filtering depth. Here we demonstrated that two images with complementary spatial phases can be used to enhance the spatial resolutions. For this application, 2 Phase Accurate (2pAc)-MUSIC is implemented that a scene is encoded with two complementary phases. The increased spatial information captured reduces the lower frequency noise in the Fourier domain found in single-phase MUSIC. A recovery algorithm combines the 180-degree spatial frequency shifted images into a single scene and applies a spatial filter in the Fourier domain that has a larger depth than previously possible to achieve a scene with increased spatial resolution. The 2pAc-MUSIC can effectively enhance the spatial resolution by removing the overlapping zero-order spatial frequencies.

多路复用结构图像捕获（MUSIC）技术在成像之前使用来自场景的光调制来将目标的时间演变编码为空间频移，每个频移对应于唯一的时间并产生单独的快照。多路复用单镜头图像的计算处理可以恢复纳秒分辨率的场景演化。限制之一是由于低通空间频率滤波深度的限制而导致恢复的图像的空间分辨率的损失。在这里，我们证明了具有互补空间相位的两个图像可以用于增强空间分辨率。对于此应用，实现了2相准确（2pAc）-MUSIC，其中场景以两个互补相位进行编码。捕获的增加的空间信息减少了单相MUSIC中傅立叶域中的低频噪声。恢复算法将180度空间频移后的图像组合到单个场景中，并在傅立叶域中应用比以前可能具有更大深度的空间滤波器，以实现具有提高的空间分辨率的场景。2pAc-MUSIC可以通过消除重叠的零阶空间频率来有效地提高空间分辨率。