Title :
A spatial domain steganographic scheme for reducing embedding noise
Author :
Sur, Arijit ; Goel, Piyush ; Mukhopadhyay, Jayanta
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kharagpur
Abstract :
In this paper, a new spatial domain block based encoding method is proposed which adds less noise during embedding. Proposed block based encoding scheme uses Single Digit Sum Encoding and Matrix Encoding to improve the embedding efficiency. We show analytically that the amount of additive noise due to embedding for the proposed scheme is less than both LSB matching in single bitplane and LSB replacement in multiple bit planes. Experimental results reveal that the proposed scheme shows better performance against Wavelet Absolute Moment Steganalyzer than LSB with single plane and LSB with multiple planes.
Keywords :
cryptography; data encapsulation; image coding; image matching; matrix algebra; wavelet transforms; LSB matching; embedding noise reduction; matrix encoding; single digit sum encoding; spatial domain block based encoding method; spatial domain steganographic scheme; wavelet absolute moment steganalyzer; Additive noise; Change detection algorithms; Computer science; Decoding; Encoding; Noise reduction; Payloads; Pixel; Security; Steganography; LSB matching; Matrix Encoding; Single Digit Sum; Wavelet Absolute Moment Steganalyzer;
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location :
St Julians
Print_ISBN :
978-1-4244-1687-5
Electronic_ISBN :
978-1-4244-1688-2
DOI :
10.1109/ISCCSP.2008.4537374