A New Method of Image Encryption/Decryption via Voice Features

Author

He, Zhiwei ; Liu, Yuanyuan ; Ye, Xueyi ; Yu, Haibin

Author_Institution

Coll. of Commun. Eng., Hangzhou Dianzi Univ., Hangzhou, China

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

4

Abstract

A new framework of image encryption via voice feature is proposed. Voice data is preprocessed and the MFCC coefficients are firstly calculated on each sub-frame; an iterated vector quantization is then applied on the MFCC data to obtain the key to image encryption and decryption. Image encryption and decryption is done in the frequency domain with a simple XOR operation. Due to the uniqueness and long length of the encryption key, along with the frequency domain encryption, the safeness of the whole system is assured.

Keywords

cepstral analysis; cryptography; data encapsulation; image coding; quantisation (signal); XOR operation; image decryption; image encryption; mel frequency cepstrum coefficient; vector quantization; voice data processing; voice features; Cepstrum; Chaos; Character recognition; Cryptography; Frequency domain analysis; Hidden Markov models; Mel frequency cepstral coefficient; Pixel; Speech recognition; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing, 2009. CISP '09. 2nd International Congress on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4129-7

Electronic_ISBN

978-1-4244-4131-0

Type

conf

DOI

10.1109/CISP.2009.5303993

Filename

5303993