研究目的
To develop a quarter video graphics array (QVGA) digital pixel image sensor with a linear and wide-dynamic-range response by using pixel-wise 3-D integration technology.
研究成果
The developed QVGA digital pixel image sensor demonstrates excellent linearity and a wide-dynamic range of more than 96 dB, capable of capturing high-fidelity images of the real world. This technology is promising for next-generation video systems, including professional and consumer video cameras, automotive and robotic applications, and various IoT devices.
研究不足
The study does not mention the specific limitations of the developed sensor, such as potential issues with pixel size reduction or the impact of environmental factors on sensor performance.
1:Experimental Design and Method Selection:
The study employed a pulse-frequency modulation (PFM) analog-to-digital converter (ADC) as a digital pixel to overcome signal saturation due to the full well capacity of the photodiode (PD). A newly designed PFM-ADC for pixels with a pinned PD and a floating diffusion was used to comply with the CMOS image sensor process for high sensitivity and low noise.
2:Sample Selection and Data Sources:
The sensor was fabricated using 0.18- and 0.2-μm process nodes, integrating PDs, comparators, logic circuits, and counters into two silicon-on-insulator layers.
3:18- and 2-μm process nodes, integrating PDs, comparators, logic circuits, and counters into two silicon-on-insulator layers.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: The sensor chip was developed with gold interconnection electrodes of 5 μm diameter, achieving a QVGA resolution within a 20-mm square chip.
4:Experimental Procedures and Operational Workflow:
The sensor's performance was evaluated by measuring its output against input illuminance, confirming excellent linearity and a wide-dynamic range of more than 96 dB.
5:Data Analysis Methods:
The sensor's capability was demonstrated by capturing video images with a high bit depth of 16 bit, showing superior image sensing.
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