Researching of Image Compression Based on Quantum BP Network

Yang Ran, Zuo Yanjun, Lei Wanjun

Abstract


The encoding time of traditional fractal image coding method is too long.Aiming at this problem, a quantum BP network algorithm is proposed in the paper. By using a neuronal model with quantum input and output, combined with the theory of BP in image compression and the complex BP algorithm, a model for image impression with 3-layer quantum BP is built, which implements image compression and image reconstruction. The simulation results show that QBP can obtain the reconstructed images with better quantity compared with BP in spite of the less learning iterations.

 

DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3550


Keywords


Quantum BP Network; Image Compression; Signal reconstruction; Quantum Neural Network; Convergence Rate

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Indonesian Journal of Electrical Engineering and Computer Science (IJEECS)
p-ISSN: 2502-4752, e-ISSN: 2502-4760
This journal is published by the Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU).

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