Segmenting endoscopic images using adaptive progressive thresholding: a hardware perspective
Journal of Systems Architecture: the EUROMICRO Journal
A Column-based Processing Array for High-speed Digital Image Processing
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Design of an efficient VLSI architecture for non-linear spatial warping of wide-angle camera images
Journal of Systems Architecture: the EUROMICRO Journal
Efficiency Analysis for a Mixed-Signal Focal Plane Processing Architecture
Journal of VLSI Signal Processing Systems
A CMOS image processing sensor for the detection of image features
Analog Integrated Circuits and Signal Processing
Hardware Implementation of Skeletonization Algorithm for Parallel Asynchronous Image Processing
Journal of Signal Processing Systems
IEEE Transactions on Circuits and Systems Part I: Regular Papers - Special section on 2008 custom integrated circuits conference (CICC 2008)
Development of high-speed and real-time vision platform, H3vision
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Real-time feature point tracking at 1000 fps
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Real-time image recognition using HLAC features at 1000 fps
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
Journal of Real-Time Image Processing
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The near-sensor image processing concept, which has earlier been theoretically described, is here verified with an implementation. The NSIP describes a method to implement a two-dimensional (2-D) image sensor array with processing capacity in every pixel. Traditionally, there is a contradiction between high spatial resolution and complex processor elements, In the NSIP concept we have a nondestructive photodiode readout and we can thereby process binary images without loosing gray-scale information. The global image processing is handled by an asynchronous Global Logical Unit. These two features makes it possible to have efficient image processing in a small processor element. Electrical problems such as power consumption and fixed pattern noise are solved. All design is aimed at a 128/spl times/128 pixels NSIP in a 0.8 /spl mu/m double-metal single-poly CMOS process. We have fabricated and measured a 32/spl times/32 pixels NSIP. We also give examples of image processing tasks such as gradient and maximum detection, histogram equalization, and thresholding with hysteresis. In the NSIP concept automatic light adaptivity within a 160 dB range is possible.