Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 28، شماره: 12
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 385
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شناسه ملی سند علمی:
JR_IJE-28-12_004
تاریخ نمایه سازی: 12 دی 1395
چکیده مقاله:
In this paper, a steganography technique for JPEG2000 compressed images using singular valuedecomposition (SVD) in wavelet transform domain is proposed. In this technique, discrete wavelettransform (DWT) is applied on the cover image to get wavelet coefficients and singular valuedecomposition is applied on these wavelet coefficients to get their singular values.Secret data bits areembedded into these singular values using scaling factor. Different compression rates are alsoconsidered for JPEG2000 images after embedding the secret images. Genetic algorithm (GA) is usedto optimize the value of scaling factor (SF). Maximum capacity of the proposed technique is 25% ofcover image size and maximum peak signal to noise ratio(PSNR) values between cover and its stegoimage is more than the PSNR of existing techniques. Embedding capacity of proposed technique is alsohigher than the embedding capacity of existing techniques. Also, PSNR between secret image andextracted image is high and hence the visual quality of the extracted secret image is good enough to thehuman visual system. Steganalysis tests are performed on the stego images to show imperceptibility ofproposed technique.
کلیدواژه ها:
Discrete Wavelet Transform ، Singular Value Decomposition ، Peak Signal to Noise Ratio ، Genetic Algorithm ، Scaling Factor
نویسندگان
G Kasanna
Computer Science and Engineering Department, Thapar University, Patiala-147004 India
K Singh
Electronics and Communication Engineering Department, Thapar University, Patiala-147004, India
S Singh Bhatia
School of Mathematics, Thapar University, Patiala-147004, India