Imaging artifacts due to pixel spatial sampling smear and amplitude quantization in two-dimensional visible imaging arrays

1999 ◽  
Author(s):  
Terrence S. Lomheim ◽  
Jeffrey D. Kwok ◽  
Tracy E. Dutton ◽  
Ralph M. Shima ◽  
Jerris F. Johnson ◽  
...  
2006 ◽  
Vol 50 (2) ◽  
pp. 301-306 ◽  
Author(s):  
J. A. Alonso ◽  
S. J. Zweben ◽  
J. L. De Pablos ◽  
E. De La Cal ◽  
C. Hidalgo ◽  
...  

2014 ◽  
Vol 989-994 ◽  
pp. 3755-3758
Author(s):  
Shu Hong Jiao ◽  
Lin Tang ◽  
Xue Liu ◽  
Huan Qi

A radar compressed sensing imaging method with 2-D separable sampling is proposed in this paper. Instead of converting the radar imaging problem into two 1-D compressed sensing problem, we use the 2-D Separable Projections to solve it directly. Unlike the 2-D separable sampling in visible imaging, the range and azimuth which are the two dimensions of the radar imaging couple with each other. This Coupling increases the storage and computation in radar compressed imaging, therefore some de-coupling processing using in Range Doppler algorithm are adopted in the proposed method to construct the 2-D separable sampling data. Accordingly the two dimensional scene has been reconstructed with the proposed 2-D compressed sensing algorithms. Compared with conventional compressed sensing imaging methods, the new method has reduced the memory usage and complexity with imaging performance improvement.


Author(s):  
Gabriel M. Rebeiz ◽  
Yong Guo ◽  
P.A. Stimson ◽  
Dayalan P. Kasilingam ◽  
David B. Rutledge

1988 ◽  
Author(s):  
Gabriel M. Rebeiz ◽  
Yong Guo ◽  
David B. Rutledge ◽  
Dayalan P. Kasilingam

1992 ◽  
Author(s):  
Alfred P. Turley ◽  
Bron R. Frias ◽  
Arlene A. Santos ◽  
Robert T. Tacka ◽  
Leroy C. Colquitt ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhanghao Sun ◽  
Ronald Quan ◽  
Olav Solgaard

AbstractTwo-dimensional, resonant scanners have been utilized in a large variety of imaging modules due to their compact form, low power consumption, large angular range, and high speed. However, resonant scanners have problems with non-optimal and inflexible scanning patterns and inherent phase uncertainty, which limit practical applications. Here we propose methods for optimized design and control of the scanning trajectory of two-dimensional resonant scanners under various physical constraints, including high frame-rate and limited actuation amplitude. First, we propose an analytical design rule for uniform spatial sampling. We demonstrate theoretically and experimentally that by expanding the design space, the proposed designs outperform previous designs in terms of scanning range and fill factor. Second, we show that we can create flexible scanning patterns that allow focusing on user-defined Regions-of-Interest (RoI) by modulation of the scanning parameters. The scanning parameters are found by an optimization algorithm. In simulations, we demonstrate the benefits of these designs with standard metrics and higher-level computer vision tasks (LiDAR odometry and 3D object detection). Finally, we experimentally implement and verify both unmodulated and modulated scanning modes using a two-dimensional, resonant MEMS scanner. Central to the implementations is high bandwidth monitoring of the phase of the angular scans in both dimensions. This task is carried out with a position-sensitive photodetector combined with high-bandwidth electronics, enabling fast spatial sampling at $$\sim 100$$ ∼ 100 Hz frame-rate.


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