SoPC implementation of autofocus for infrared imaging apparatus based on retinal vision mechanism

Kun Gao; Na Liu; Chengzhi Sun; Guoqiang Ni

doi:10.1117/12.839671

4 August 2009 SoPC implementation of autofocus for infrared imaging apparatus based on retinal vision mechanism

Kun Gao, Na Liu, Chengzhi Sun, Guoqiang Ni

Proceedings Volume 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications; 738339 (2009) https://doi.org/10.1117/12.839671
Event: International Symposium on Photoelectronic Detection and Imaging 2009, 2009, Beijing, China

Abstract

The center problem of common autofocus method by using image processing is to determine the position of best focus of an objective lens through the system output video. The general image processing autofocus algorithms require a focusing window with a suitable size, but this size is difficult to determine. An innovative solution is proposed here according to the retinal vision information-processing function. Un-uniform sampling is introduced by using the retinal space-variant resolution vision mechanism as reference in order to get higher resolution in central part of image and wider view field, making sure that the object located in the fovea region is protruded and the negative effect of the background image is restricted. The sharpness evaluation parameters are further studied for better performance. All the logic circuit above is realized in one FPGA chip of Cyclone II EP2C20 and the SoPC (System-on-a-Programmable-Chip) architecture is adopted to ensure the computing and response speed of the image autofocus. The experimental results indicate that the validity of autofocus algorithm.

Citation Download Citation

Kun Gao, Na Liu, Chengzhi Sun, and Guoqiang Ni "SoPC implementation of autofocus for infrared imaging apparatus based on retinal vision mechanism", Proc. SPIE 7383, International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Infrared Imaging and Applications, 738339 (4 August 2009); https://doi.org/10.1117/12.839671

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KEYWORDS

Atrial fibrillation

Field programmable gate arrays

Image resolution

Infrared imaging

Image processing

Video

Logic

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