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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2014 Vol.2(1): 54-57 ISSN: 2301-3559
DOI: 10.7763/LNSE.2014.V2.94

An Efficient Method of Image-Sound Conversion Based on IFFT for Vision Aid for the Blind

Xuan Zhang, Jian-Ming Wang, Xiao-Jie Duan, and Yu-Kuan Sun
Abstract—The vOICe technology is a kind of vision aid technology for the blind, which offers the experience of live camera views through image-sound conversion. To reduce the computational complexity of image-sound conversion, a novel image-sound conversion method is proposed in the paper. The new method takes each column of an image as the Discrete Fourier Transform (DFT) of an audio signal, and inverse Fast Fourier Transform (IFFT) is utilized to implement the inverse DFT and calculate the converted audio signal. The final result represent that this method is more effectively and has a better real time performance.

Index Terms—The vOICe system, image-sound Conversion, direct synthesis technique, inverse fast fourier transform (IFFT).

The authors are with School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China (e-mail: 641856373@qq.com).


Cite: Xuan Zhang, Jian-Ming Wang, Xiao-Jie Duan, and Yu-Kuan Sun, "An Efficient Method of Image-Sound Conversion Based on IFFT for Vision Aid for the Blind," Lecture Notes on Software Engineering vol. 2, no. 1, pp. 54-57, 2014.

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