Benefits of optical system diversity for multiplexed image reconstruction.
暂无分享,去创建一个
Marc P Christensen | Dinesh Rajan | Sally L Wood | Hseuh-Ban Lan | M. Christensen | D. Rajan | S. Wood | Hseuh-Ban Lan
[1] Robert M. Gray,et al. On the asymptotic eigenvalue distribution of Toeplitz matrices , 1972, IEEE Trans. Inf. Theory.
[2] Jun Tanida,et al. Reconstruction of a high-resolution image on a compound-eye image-capturing system. , 2004, Applied optics.
[3] P. King. Medical imaging systems , 1986, Proceedings of the IEEE.
[4] S. Douglas,et al. PANOPTES : A thin agile multi-resolution imaging sensor , 2022 .
[5] Antonio. Garcia-Valdecasas,et al. Two-Dimensional Imaging , 1996 .
[6] Michael Elad,et al. Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.
[7] S. Liberty,et al. Linear Systems , 2010, Scientific Parallel Computing.
[8] Takeo Kanade,et al. Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[9] Christian Bräuer-Burchardt,et al. A new algorithm to correct fish-eye- and strong wide-angle-lens-distortion from single images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[10] Michael Elad,et al. Fast and Robust Multi-Frame Super-Resolution , 2004, IEEE Transactions on Image Processing.
[11] S.C. Douglas,et al. Resolution improvement for compound eye images through lens diversity , 2004, 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th Digital Signal Processing Workshop, 2004..
[12] Michael Elad,et al. Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images , 1997, IEEE Trans. Image Process..
[13] Anil K. Jain. Fundamentals of Digital Image Processing , 2018, Control of Color Imaging Systems.
[14] J. Tanida,et al. Thin Observation Module by Bound Optics (TOMBO): Concept and Experimental Verification. , 2001, Applied optics.
[15] Nirmal K. Bose,et al. Mathematical analysis of super-resolution methodology , 2003, IEEE Signal Process. Mag..
[16] S. Chaudhuri. Super-Resolution Imaging , 2001 .
[17] Peyman Milanfar,et al. A computationally efficient superresolution image reconstruction algorithm , 2001, IEEE Trans. Image Process..
[18] Sally L. Wood,et al. Performance of a MVE algorithm for compound eye image reconstruction using lens diversity , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[19] Marc P Christensen,et al. Adaptive flat multiresolution multiplexed computational imaging architecture utilizing micromirror arrays to steer subimager fields of view. , 2006, Applied optics.