Temporally and Spatially Modulated Fourier Transform Imaging Spectrometer (TSMFTIS) is a new imaging
spectrometer without moving mirror and slit. Through scanning, it can acquire sequential images superposed with
interference fringes. The interferogram can be acquired by orderly arranging the extracted interference information of the
same spatial point from the sequential images, and the spectrum can be recovered by using FFT. Therefore, the attitude
of the bearing platform will affect the images so as to reduce the accuracy of the recovered spectrums. Since current
attitude measurement accuracy can not meet the needs of error correction, in this paper, the image registration method is
applied to acquire the accurate translations for the future correction between two sequential images. The single-step DFT
registration method is applied to register the selected window areas away from the null optical path difference position in
sequential images. That is full utilizing of common information meanwhile reducing impact of interference fringes and
improving registration accuracy and efficiency. In the simulation experiment, a common large remote sensing image is
used as ground object. The Fourier shift principle is applied to acquire simulation scanning images with sub-pixel
displacement. Artificial spectral data cube produced with the RGB values of each image is utilized as the input data of
the TSMFTIS, and sequential images superposed with interference fringes are acquired. Registration according to the
method mentioned above is performed and the results are compared with the accurate values. It shows that the method is
feasible and can achieve sub-pixel level accuracy.
This paper presents a kind of light field camera with a patterned mask inserted between lens and sensor in a conventional
camera. The mask can attenuate the incident light rays as well as the baseband signal is carried by carrier signal during
remote transmission to reduce energy loss in radio and telecommunication field. Linearly independent weighted sums of
light rays can be recorded by the sensor and rays combined in coding way can be decoded according to
modulation-demodulation theory. Through rearranging the tile of the 2D Fourier transform of image on sensor into 4D
planes, the light field can be reconstructed. Although light field image is captured by the camera in single photographic
exposure time, sharp images focused at different depths could be obtained by computation. This paper researches on the
principle, modeling and simulation of the camera according to ray transmission path. Two defocused light field images
are simulated by using some supposed camera parameters and the digital refocused images are reconstructed
respectively.
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