A Low-Power Compression-Based CMOS Image Sensor With Microshift-Guided SAR ADC
| Autor: | Chi-Ying Tsui, Amine Bermak, Man-Kay Law, Bo Zhang, Xiaopeng Zhong |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Physics
Lossless compression Pixel Image quality 020208 electrical & electronic engineering ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Successive approximation ADC 02 engineering and technology Iterative reconstruction 020202 computer hardware & architecture 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Image sensor Wireless sensor network Encoder Algorithm |
| Zdroj: | IEEE Transactions on Circuits and Systems II: Express Briefs. 65:1350-1354 |
| ISSN: | 1558-3791 1549-7747 |
| DOI: | 10.1109/tcsii.2018.2859047 |
| Popis: | This 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 ${3\times 3}$ 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 ${256\times 216}$ prototype imaging system composed of the compression-based image sensor and the lossless encoder is fabricated in a 0.18- ${\mu }\text{m}$ 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 $14.8~{\mu }\text{W}$ (full resolution) and $4.3~{\mu }\text{W}$ (downsampling) at 15 fps, achieving state-of-the-art FoMs of 17.8 and 5.2 pJ/pixel $\cdot $ frame, respectively. Including the encoder, the overall system dissipates as low as $1.2~{\mu }\text{J}$ /frame, making it an attractive solution for wireless sensor networks. |
| Databáze: | OpenAIRE |
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