High quality image steganography on integer Haar Wavelet Transform using modulus function

Adi, Prajanto Wahyu; Rahmanti, Farah Zakiyah; Abu, Nur Azman

doi:10.1109/icsitech.2015.7407781

Cited by 18 publications

(9 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…IHWT (Integer Haar Wavelet Transform) merupakan IWT yang dikembangkan dari DHWT (Discrete Haar Wavelet Transform) dengan tujuan memisahkan data untuk menciptakan nilai transformasi. Salah satu penelitian tentang domain transformasi [5], dengan metode pengujian MSE dan PSNR menunjukkan bahwa kualitas citra stego dengan teknik IHWT menggunakan metode steganografi modulus function mencapai tingkat imperceptibility dan fidelity (aspek penyamaran pesan tersisip) lebih tinggi dibandingkan dengan menggunakan metode steganografi CD (Coefficient Difference).…”

Section: Pendahuluanunclassified

See 1 more Smart Citation

Pengamanan Data Teks Dengan NTRU dan Modulus Function pada Koefisien IHWT Citra Warna

Purba¹,

Pardosi²,

Darmawan³

et al. 2019

J. Sifo Mikrosk.

View full text Add to dashboard Cite

The development of digital information have caused the rise of information technology security to protect text data that contains secret. Steganography is one of many solutions for securing text data by hiding the text data on an image so that another party would not know the existence of such data. Criteria of a good steganography involves imperceptibility, fidelity, robustness dan recovery. One steganographic method is CD (Coefficient Difference), adopted from PVD (Pixel Value Differencing) which does hiding in spatial domain using difference of two pixel values that results in large modification of pixel values, reducing imperceptibility. Modulus function is used to solve such shortcoming in CD by using the modulus function on embedding, minimizing pixel modification during the process, resulting in improved imperceptibility. In this final project, IHWT (Integer Haar Wavelet Transform) are used to keep imperceptibility high. To improve the security, cryptographic method NTRU is applied on the secret message before it is hidden in image. The result showed that the combination of NTRU, IHWT and modulus function yields good imperceptibility, with PSNR value above 40 dB while the stego image resist salt and pepper noise attack of 0,002% and contrast addition of maximum amount one

show abstract

Section: Pendahuluanunclassified

“…Metode IHWT dikembangkan dari DHWT melalui sebuah lifting scheme yang digunakan pada media gambar dengan cara mengubah bilangan bulat nilai pixel dari sebuah gambar ke dalam koefisien wavelet integer dan sebaliknya. Untuk mengubah gambar menjadi wavelet subband, citra dibagi menjadi 2x2 blok yang tidak saling tumpang tindih seperti matriks ini [5]:…”

Section: Ihwtunclassified

Pengamanan Data Teks Dengan NTRU dan Modulus Function pada Koefisien IHWT Citra Warna

Purba¹,

Pardosi²,

Darmawan³

et al. 2019

J. Sifo Mikrosk.

View full text Add to dashboard Cite

show abstract

“…The CRT algorithm results in suboptimal image quality or imperceptibility. Hence, this paper is proposed an edge embedding scheme in CRT because the human vision is less sensitive against the minor change as the process of embedding in the edge of image [10]. The watermark bits are embedded over the edges of the image through a Canny algorithm to determine the embedding location.…”

Section: Introductionmentioning

confidence: 99%

Imperceptible Image Watermarking based on Chinese Remainder Theorem over the Edges

Adi¹,

Astuti²,

Subhiyakto³

2017

EECSI

Self Cite

View full text Add to dashboard Cite

This paper introduced a watermarking method using the CRT and Canny Algorithm that able to improve the imperceptibility of watermarked image and preserving the robustness of watermark image as well. The classical CRT algorithm is spread the watermark bits evenly on the image area. It causes significant degradation when the embedding location lies on the least significant region or in the homogeny area. Otherwise, the proposed method embeds the watermark on the edges of the image which have significant difference value to maintain the imperceptibility. The Canny algorithm is used to indexing the embedding location based on the filtering output of host image. The watermark is then embedded into the host image using pair-wise coprime integers of 6 and 11 within the CRT modulo. The results show that the proposed method has significant improvement in the quality of watermarked image with the average value of 0.9995 compared to the CRT method which results in value of 0.9985. In compression and additive noise attacks the CRT has average values of 0.6618 and 0.9750, while the proposed method results in similar values of 0.6616 and 0.9752 respectively. These prove that the proposed method is able to preserve the robustness while improving the imperceptibility.

show abstract

“…Figure 1 shows that the image is decomposed into four wavelet sub band namely: LL at the top left, HL at the top right, LH at the bottom left, and HH at the bottom right position of the wavelet sub bands. LL is the average coefficients values that contain the average value of image, this wavelet's sub band contain the significant values of image so it has high robustness in maintaining information contained therein [13,15]. Whereas, the HL, LH, and are the less significant coefficient value of that contain the edge are of the images.…”

Section: Prajanto Wahyu Adi Et Al Robust Integer Haar Wavelet 27mentioning

confidence: 99%

“…These methods can avoid the floating point problem of DWT [12] and able to make watermarking scheme more efficient [4]. This paper proposed the use of Integer Haar Wavelet Transform (IHWT) coefficients as the values of SVD, due to numerical advantages of IHWT [13].…”

Section: Prajanto Wahyu Adi Et Al Robust Integer Haar Wavelet 27mentioning

confidence: 99%

Robust Integer Haar Wavelet Based Watermarking Using Singular Value Decomposition

Adi

Rahmanti

2016

Jurnal Ilmu Komputer dan Informasi

Self Cite

View full text Add to dashboard Cite

This paper proposed a hybrid watermarking method that used dither quantization of Singular Value Decomposition (SVD) on average coefficients of Integer Haar Wavelet Transform (IHWT). The watermark image embeds through dither quantization process on singular coefficients value. This scheme aims to obtain the higher robustness level than previous method which performs dither quantization of SVD directly on image pixels value. The experiment results show that the proposed method has proper watermarked images quality above 38dB. The proposed method has better performance than the previous method in term of robustness against several image processing attacks. In JPEG compression with Quality Factor of 50 and 70, JPEG2000 compression with Compression Ratio of 5 and 3, average filtering, and Gaussian filtering, the previous method has average Normalized Correlation ( Keywords: watermarking, SVD, integer wavelet transform, dither quantization AbstrakPaper ini mengusulkan metode watermarking yang menggabungkan kuantisasi dither SVD pada nilai koefisien rata-rata IHWT. Citra watermark disisipkan melalui proses kuantisasi dither pada nilai koefisien singular. Skema ini dilakukan untuk memperoleh tingkat ketahanan yang lebih tinggi dari metode sebelumnya yang melakukan kuantisasi dither SVD secara langsung pada nilai piksel citra. Hasil percobaan menunjukkan bahwa metode yang diusulkan mempunyai kualitas citra ter-watermark yang layak diatas 38dB. Metode yang diusulkan mempunyai kinerja lebih baik dari metode sebelumnya dalam hal ketahanan terhadap beberapa serangan citra. Dalam kompresi JPEG dengan Quality Factor 50 dan 70, kompresi JPEG2000 dengan Compression Ratio 5 dan 3, average filtering, dan gaussian filtering, metode sebelumnya menghasilkan nilai Normalized Correlation (NC) rata-rata berturut-turut sebesar 0. 8756, 0.9759, 0.9509, 0.9905, 0.8321, dan 0.9297. Sementara, metode yang diusulkan menghasilkan nilai NC rata-rata yang lebih baik sebesar 0.9730, 0.9884, 0.9844, 0.9963, 0.9020, dan 0.9590 berturut-turut. Kata Kunci: watermarking, SVD, integer wavelet transform, dither quantization

show abstract

High quality image steganography on integer Haar Wavelet Transform using modulus function

Cited by 18 publications

References 6 publications

Pengamanan Data Teks Dengan NTRU dan Modulus Function pada Koefisien IHWT Citra Warna

Pengamanan Data Teks Dengan NTRU dan Modulus Function pada Koefisien IHWT Citra Warna

Imperceptible Image Watermarking based on Chinese Remainder Theorem over the Edges

Robust Integer Haar Wavelet Based Watermarking Using Singular Value Decomposition

Contact Info

Product

Resources

About