Title :
A CMOS Image Sensor with combined adaptive-quantization and QTD-based on-chip compression processor
Author :
Shoushun, Chen ; Bermak, Amine ; Yan, Wang ; Martinez, Dominique
Author_Institution :
Dept. of EEE, Hong Kong Univ. of Sci. & Technol.
Abstract :
In this paper, a CMOS image sensor with on-chip compression processor is proposed. An adaptive quantization scheme based on boundary adaptation procedure followed by an on-line quadrant tree decomposition processing is proposed enabling low power, robust and compact image compression processor. The image sensor chip has been implemented using 0.35 mu CMOS technology and operates at 3.3 V. Simulation and experimental results show compression figures corresponding to 0.6-0.8 BPP, while maintaining reasonable PSNR levels and very low operating power consumption
Keywords :
CMOS image sensors; coprocessors; data compression; image coding; quadtrees; quantisation (signal); 0.35 micron; 3.3 V; CMOS image sensor; CMOS technology; adaptive quantization; boundary adaptation procedure; image compression processor; on-chip compression processor; online quadrant tree decomposition processing; CMOS image sensors; CMOS technology; Image coding; Image sensors; PSNR; Pixel; Quantization; Robustness; Sensor arrays; Video compression;
Conference_Titel :
Custom Integrated Circuits Conference, 2006. CICC '06. IEEE
Conference_Location :
San Jose, CA
Print_ISBN :
1-4244-0075-9
Electronic_ISBN :
1-4244-0076-7
DOI :
10.1109/CICC.2006.320903
