Title :
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
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;
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
DOI :
10.1109/CISP.2009.5303993
