Abstract
Time-varying illumination on the focal plane is a three-dimensional signal. Multidimensional sampling theory proves that the temporal resolution can be optimally improved by a factor of \(\sqrt 2\) while the spatial resolution is reserved by changing the sampling scheme. Based on the theory, a prototype multi-field CMOS image sensor (CIS) is designed for a 0.35-μm 2P4M CMOS process. Corresponding pixels in 4×4-pixel clusters are assembled into 16 fields over the whole array. Control pins (resets and shutters) of pixels are separated which provides the ability of sampling the illumination with the optimal sampling scheme.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Dubois E. The sampling and reconstruction of time-varying imagery with application in video systems. P IEEE, 1985, 73: 502–522
Kleinfelder S, Chen Y, Kwiatkowski K, et al. High-speed CMOS image sensor circuits with in situ frame storage. IEEE Trans Nucl Sci, 2004, 51: 1648–1656
Le C V, Etoh T G, Nguyen H D, et al. A backside-illuminated image sensor with 200000 pixels operating at 250000 frames per second. IEEE Trans Electron Dev, 2009, 56: 2556–2562
Krymski A, Van Blerkom D, Anndersson A, et al. A high speed, 500 frames/s 1024×1024 CMOS active pixel sensor. In: Symposium on VLSI Circuits Digest of Technical Papers. Kyoto: IEEE Publishing, 1999. 137–138
Krymski A I, Tu N. A 9-v/lux-s 5000-frames/s 512×512 CMOS sensor. IEEE J Solid-St Circ, 2003, 50: 136–143
Furuta M, Nishikawa Y, Inoue T, et al. A high-speed, high-sensitivity digital CMOS image sensor with a global shutter and 12-bit column-parallel cyclic A/D converters. IEEE J Solid-St Circ, 2007, 42: 766–774
Kleinfelder S, Lim S, Liu X, et al. A 10000 frames/s CMOS digital pixel sensor. IEEE J of Solid-State Circuit, 2001, 36: 2049–2058
De Haan G, Bellers E B. Deinterlacing—an overview. P IEEE, 1998, 86: 1839–1857
Petersen D P, Middleton D. Sampling and reconstruction of wavenumber-limited functions in n-dimensional Euclidean spaces. Inf Control, 1962, 5: 279–323
Lin S F, Chang Y L, Chen L G. Motion adaptive interpolating with horizontal motion detection for deinterlacing. IEEE Trans Consum Electr, 2003, 49: 1256–1265
Park M K, Kang M G, Nam K, et al. New edge dependent deinterlacing algorithm based on horizontal edge pattern. IEEE Trans Consum Electr, 2003, 49: 1508–1512
Fan Y C, Lin H S, Chiang A, et al. Motion compensated deinterlacing with efficient artifact detection for digital television displays. J Disper Technol, 2008, 4: 218–228
YUV video sequences. Available at http://trace.eas.asu.edu/yuv/
Higgins C M, Pant V. A biomimetic VLSI sensor for visual tracking of small moving targets. IEEE Trans Circuits-I, 2004, 51: 2384–2394
Etienne-Cummings R, Der Spiegel J V, Mueller P. A focal plane visual motion measurement sensor. IEEE Trans Circuits I, 1997, 44: 55–66
Harrison R R. A biologically inspired analog IC for visual collision detection. IEEE Trans Circuits I, 2005, 52: 2308–2318
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Guan, N., Zhang, X., Liu, B. et al. CMOS image sensor with optimal video sampling scheme. Sci. China Inf. Sci. 55, 1429–1435 (2012). https://doi.org/10.1007/s11432-011-4495-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-011-4495-1