Title :
Secure image steganography based on Slantlet transform
Author :
Mutt, S.K. ; Kumar, Sushil
Author_Institution :
Dept. of Comput. Sci., Univ. of Delhi, Delhi, India
Abstract :
In this paper we propose a steganography technique based on Stantlet transform and T-codes. The Stantlet transform are wavelet-like transforms that provides better time localization and signal compression than the conventional discrete cosine transforms (DCT) and discrete Haar-wavelet transforms. T-codes are used for better embedding capacity and decoding efficiency. The proposed method first encodes the message using best T-codes. We then obtain four sub-bands HH, HL, LH, and LL from cover image by applying Stantlet transforms to it. The encoded message is embedded in high frequency subbands HH, HL and LH based on 2 to 3 LSB method. The algorithm is compared with Haar-Wavelet approach. The metric for image quality used are PSNR and MSSIM. Our experimental results have shown high embedding rate, good imperceptibility and better run time than the known Haar-Wavelet based technique.
Keywords :
data compression; decoding; image coding; steganography; wavelet transforms; MSSIM; PSNR; Slantlet transform; T-codes; decoding efficiency; embedding capacity; image steganography security; signal compression; time localization; wavelet-like transforms; Circuit testing; Computer science; Educational institutions; Output feedback; Polynomials; Shift registers; Signal processing algorithms; Steganography; Very large scale integration; Watermarking; DCT; DST; DWT; FFT; MSSIM; PSNR; ST; STEGANOGRAPHY; VLC;
Conference_Titel :
Methods and Models in Computer Science, 2009. ICM2CS 2009. Proceeding of International Conference on
Conference_Location :
Delhi
Print_ISBN :
978-1-4244-5051-0
DOI :
10.1109/ICM2CS.2009.5397983