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A 2PJ/Pixel/Direction MIMO Processing Based CMOS Image Sensor for Omnidirectional Local Binary Pattern Extraction and Edge Detection
Zhong,Xiaopeng1; Yu,Qian1; Bermak,Amine1,2; Tsui,Chi Ying1; Law,May Kay3
2018-10-22
Source PublicationIEEE Symposium on VLSI Circuits, Digest of Technical Papers
Volume2018-June
Pages247-248
AbstractThis paper presents an energy-efficient multi-mode CMOS image sensor featuring omnidirectional local binary pattern extraction (LBP-E), edge detection (ED) and normal imaging. A mixed-signal 4-pixel simultaneous group computation (GC) scheme is developed to extract complete 8-direction LBP and edge. High-speed and energy-efficient column-parallel GC is achieved with the proposed group-switchable multi-input multi-output (MIMO) comparator. The reconfigurable mixed-signal processing circuits ensure multi-mode operations with minimum area overhead. Fabricated in 0.18μ m CMOS, the prototype sensor consumes 6.5μ W and 12.7μ W at 30fps for full 8-direction LBP-E and ED, achieving the state-of-the-art FoMs of 2.0 and 3.9 pJ/pixel/direction, respectively. Measurement results also demonstrate high-accuracy on-chip LBP-E, with a histogram similarity of up to 97.5% compared to the DSP one.
DOI10.1109/VLSIC.2018.8502214
URLView the original
Language英語English
Scopus ID2-s2.0-85056906541
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Document TypeConference paper
CollectionINSTITUTE OF MICROELECTRONICS
Affiliation1.Hong Kong University of Science and Technology,Hong Kong
2.Hamad Bin Khalifa University,Qatar
3.University of Macau,Macao
Recommended Citation
GB/T 7714
Zhong,Xiaopeng,Yu,Qian,Bermak,Amine,et al. A 2PJ/Pixel/Direction MIMO Processing Based CMOS Image Sensor for Omnidirectional Local Binary Pattern Extraction and Edge Detection[C], 2018, 247-248.
APA Zhong,Xiaopeng., Yu,Qian., Bermak,Amine., Tsui,Chi Ying., & Law,May Kay (2018). A 2PJ/Pixel/Direction MIMO Processing Based CMOS Image Sensor for Omnidirectional Local Binary Pattern Extraction and Edge Detection. IEEE Symposium on VLSI Circuits, Digest of Technical Papers, 2018-June, 247-248.
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