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Computational and Mathematical Methods in Medicine
Volume 2012, Article ID 125321, 7 pages
Research Article

Self-Adaptive Image Reconstruction Inspired by Insect Compound Eye Mechanism

1College of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, China
2College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, Zhejiang 310023, China

Received 23 November 2012; Accepted 17 December 2012

Academic Editor: Sheng-yong Chen

Copyright © 2012 Jiahua Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Inspired by the mechanism of imaging and adaptation to luminosity in insect compound eyes (ICE), we propose an ICE-based adaptive reconstruction method (ARM-ICE), which can adjust the sampling vision field of image according to the environment light intensity. The target scene can be compressive, sampled independently with multichannel through ARM-ICE. Meanwhile, ARM-ICE can regulate the visual field of sampling to control imaging according to the environment light intensity. Based on the compressed sensing joint sparse model (JSM-1), we establish an information processing system of ARM-ICE. The simulation of a four-channel ARM-ICE system shows that the new method improves the peak signal-to-noise ratio (PSNR) and resolution of the reconstructed target scene under two different cases of light intensity. Furthermore, there is no distinct block effect in the result, and the edge of the reconstructed image is smoother than that obtained by the other two reconstruction methods in this work.