Self-adaptive image reconstruction inspired by insect compound eye mechanism.
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.
College of Computer and Information Engineering, Hohai University, Nanjing, Jiangsu 211100, China.
Jiahua
J
Zhang
Aiye
A
Shi
Xin
X
Wang
Linjie
L
Bian
Fengchen
F
Huang
Lizhong
L
Xu
D000465:Algorithms; D000818:Animals; D054910:Compound Eye, Arthropod / Q000502:physiology*; D003198:Computer Simulation; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007313:Insecta; D008027:Light; D015233:Models, Statistical; D055095:Optics and Photonics; D019047:Phantoms, Imaging; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio; D014785:Vision, Ocular