Comput Math Methods Med - Self-adaptive image reconstruction inspired by insect compound eye mechanism.

Tópicos

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{ detect(2391) sensit(1101) algorithm(908) }

Resumo

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.

Resumo Limpo

inspir mechan imag adapt luminos insect compound eye ice propos icebas adapt reconstruct method armic can adjust sampl vision field imag accord environ light intens target scene can compress sampl independ multichannel armic meanwhil armic can regul visual field sampl control imag accord environ light intens base compress sens joint spars model jsm establish inform process system armic simul fourchannel armic system show new method improv peak signaltonois ratio psnr resolut reconstruct target scene two differ case light intens furthermor distinct block effect result edg reconstruct imag smoother obtain two reconstruct method work

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