UM
A Low-Power Compression-Based CMOS Image Sensor With Microshift-Guided SAR ADC
Zhong, Xiaopeng; Zhang, Bo; Bermak, Amine; Tsui, Chi-Ying; Law, Man-Kay
2018-10
Conference NameIEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
Volume65
Issue10
Pages1350-1354
Publication Place445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
AbstractThis brief presents a low-power compression-based CMOS image sensor for wireless vision applications. The sensor implements low-bit-depth imaging with planned sensor distortion (PSD) to effectively compress both data bandwidth and processing power while maintaining high reconstruction image quality. Accordingly, a column-parallel microshift-guided successive-approximation-register (SAR) ADC is proposed to enable 3-bit PSD imaging based on a 3 x 3 pattern. To support normal imaging with low area overhead, the circuit is reconfigurable as an 8-bit SAR/single-slope ADC. The data bandwidth is further compressed by a customized lossless encoder based on predictive coding and run length coding. A 256 x 216 prototype imaging system composed of the compression-based image sensor and the lossless encoder is fabricated in a 0.18-mu m standard CMOS process. Measurement results show that the image sensor achieves 3 bit/pixel (bpp) with 34.9-dB reconstruction peak signal-to-noise ratio (PSNR) and 0.91 structural similarity index (SSIM). With 1/4 spatial downsampling and lossless encoding, 0.31 bpp is obtained with 29.2-dB PSNR and 0.83 SSIM. The sensor consumes 14.8 mu W (full resolution) and 4.3 mu W (downsampling) at 15 fps, achieving state-of-the-art FoMs of 17.8 and 5.2 pJ/pixel.frame, respectively. Including the encoder, the overall system dissipates as low as 1.2 mu J/frame, making it an attractive solution for wireless sensor networks.
KeywordCMOS image sensor focal-plane compression planned sensor distortion (PSD) low bit depth microshift SAR ADC wireless sensor networks
DOI10.1109/TCSII.2018.2859047
URLView the original
Indexed BySCI ; CPCI
Language英语
WOS Research AreaEngineering
WOS SubjectEngineering, Electrical & Electronic
WOS IDWOS:000446155600014
The Source to ArticleWOS
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Document TypeConference paper
CollectionUniversity of Macau
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Zhong, Xiaopeng,Zhang, Bo,Bermak, Amine,et al. A Low-Power Compression-Based CMOS Image Sensor With Microshift-Guided SAR ADC[C]. 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA:IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC,2018:1350-1354.
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