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Adaptive-quantization digital image sensor for low-power image compression

หน่วยงาน Nanyang Technological University, Singapore

รายละเอียด

ชื่อเรื่อง : Adaptive-quantization digital image sensor for low-power image compression
นักวิจัย : Chen, Shoushun , Amine, Bermak , Wang, Yan , Dominique, Martinez
คำค้น : DRNTU::Engineering::Electrical and electronic engineering::Electronic systems.
หน่วยงาน : Nanyang Technological University, Singapore
ผู้ร่วมงาน : -
ปีพิมพ์ : 2550
อ้างอิง : Chen, S., Amine, B., Wang, Y., & Dominique, M. (2007). Adaptive-quantization digital image sensor for low-power image compression. IEEE Transactions on Circuits and Systems Part 1 Regular Papers. 54(1), 13-25. , 1549-8328 , http://hdl.handle.net/10220/6330 , http://dx.doi.org/10.1109/TCSI.2006.887460
ที่มา : -
ความเชี่ยวชาญ : -
ความสัมพันธ์ : IEEE transactions on circuits and systems part 1 regular papers
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

The recent emergence of new applications in the area of wireless video sensor network and ultra-low-power biomedical applications (such as the wireless camera pill) have created new design challenges and frontiers requiring extensive research work. In such applications, it is often required to capture a large amount of data and process them in real time while the hardware is constrained to take very little physical space and to consume very little power. This is only possible using custom single-chip solutions integrating image sensor and hardware-friendly image compression algorithms. This paper proposes an adaptive quantization scheme based on boundary adaptation procedure followed by an online quadrant tree decomposition processing enabling low power and yet robust and compact image compression processor integrated together with a digital CMOS image sensor. The image sensor chip has been implemented using 0.35- m CMOS technology and operates at 3.3 V. Simulation and experimental results show compression figures corresponding to 0.6–0.8 bit per pixel, while maintaining reasonable peak signal-to-noise ratio levels and very low operating power consumption. In addition, the proposed compression processor is expected to benefit significantly from higher resolution and Megapixels CMOS imaging technology.

บรรณานุกรม :
Chen, Shoushun , Amine, Bermak , Wang, Yan , Dominique, Martinez . (2550). Adaptive-quantization digital image sensor for low-power image compression.
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Chen, Shoushun , Amine, Bermak , Wang, Yan , Dominique, Martinez . 2550. "Adaptive-quantization digital image sensor for low-power image compression".
    กรุงเทพมหานคร : Nanyang Technological University, Singapore.
Chen, Shoushun , Amine, Bermak , Wang, Yan , Dominique, Martinez . "Adaptive-quantization digital image sensor for low-power image compression."
    กรุงเทพมหานคร : Nanyang Technological University, Singapore, 2550. Print.
Chen, Shoushun , Amine, Bermak , Wang, Yan , Dominique, Martinez . Adaptive-quantization digital image sensor for low-power image compression. กรุงเทพมหานคร : Nanyang Technological University, Singapore; 2550.