5/3 integer wavelet transform for images based on Visual C++

Abstrak Algoritma kriptografi dapat digunakan untuk mengamankan citra. Salah satu algoritma kriptografi yang dapat digunakan untuk mengenkripsi citra adalah algoritma Serpent. Namun, algoritma Serpent memerlukan proses enkripsi dan dekripsi yang lama. Selain itu, pengenkripsian saja tidaklah cukup karena akan menimbulkan kecurigaan sehingga informasi akan rentan dicuri. Maka diperlukan teknik steganografi seperti metode Integer Wavelet Transform (IWT). Citra rahasia akan dienkripsi terlebih dahulu dengan menggunakan metode Modified Serpent, dimana modifikasi Serpernt mengubah proses transformasi substitusi byte (DES S-box) menjadi list bilangan prima 257 yang memiliki 128 generator untuk digunakan sebagai kunci di setiap putarannya. Pada proses penyisipan dengan metode IWT, perlu ditentukan posisi bit dan piksel pada cover image yang akan disisipkan sebuah pesan. Untuk menentukan posisi tersebut, maka digunakanlah fungsi chaos. Setelah itu, dapat dilakukan proses ekstraksi terhadap citra stego yang dihasilkan pada proses penyisipan untuk memperoleh kembali bit yang tersimpan didalamnya. Kumpulan bit tersebut dapat didekripsi sehingga akan diperoleh kembali citra rahasia semula.

Download Full-text

Wavelet based Reversible Image Watermarking with Logistic Encryption for Health Informatics Systems

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.b1443.0982s1119 ◽

2019 ◽

Vol 8 (2S11) ◽

pp. 3567-3570

Keyword(s):

Wavelet Transform ◽

Execution Time ◽

Health Informatics ◽

Binary Data ◽

Image Watermarking ◽

Reversible Watermarking ◽

Integer Wavelet Transform ◽

Integer Wavelet ◽

Reversible Image Watermarking ◽

Watermarking Scheme

Health Informatics systems preserves the patient’s digital records. Two techniques that help in this process are watermarking and encryption. In this paper a reversible image watermarking scheme with logistic encryption is presented. The reversible watermarking is utilizing the concept of integer wavelet transform. The image is divided into sub bands and then the binary data is hidden in these sub bands. The watermarked wavelet sub bands are passed through logistic encryption module which scrambles the coefficients. These coefficients are then sent to inverse wavelet transform for image reconstruction. This process helps encrypt the image though spectral scrambling, thus resulting in faster and better encryption. The proposed algorithm outperforms the exiting algorithms in terms of execution time and the level of encryption.

Download Full-text

A Hybrid Robust Image Watermarking Scheme Using Integer Wavelet Transform, Singular Value Decomposition and Arnold Transform

Advances in Visual Informatics - Lecture Notes in Computer Science ◽

10.1007/978-3-319-02958-0_4 ◽

2013 ◽

pp. 36-47 ◽

Cited By ~ 8

Author(s):

Nasrin M. Makbol ◽

Bee Ee Khoo

Keyword(s):

Wavelet Transform ◽

Singular Value Decomposition ◽

Image Watermarking ◽

Singular Value ◽

Integer Wavelet Transform ◽

Arnold Transform ◽

Robust Image ◽

Value Decomposition ◽

Integer Wavelet ◽

Watermarking Scheme

Download Full-text

Efficient Self-Adaptive Image Steganography Scheme Based on Iterative Blending and Integer Wavelet Transform

Lecture Notes in Electrical Engineering - Unifying Electrical Engineering and Electronics Engineering ◽

10.1007/978-1-4614-4981-2_126 ◽

2013 ◽

pp. 1159-1167 ◽

Cited By ~ 2

Author(s):

Peipei Liu ◽

Chuan Chen ◽

Liangquan Ge ◽

Yaoyao Luo

Keyword(s):

Wavelet Transform ◽

Image Steganography ◽

Integer Wavelet Transform ◽

Integer Wavelet ◽

Self Adaptive

Download Full-text

An Improved ECG Steganography Using Integer Wavelet Transform and Offset Coefficient with LSB Substitution

10.21203/rs.3.rs-813912/v1 ◽

2021 ◽

Author(s):

Ching-Yu Yang ◽

Wen-Fong Wang

Keyword(s):

Wavelet Transform ◽

Personal Information ◽

Signal To Noise Ratio ◽

Computation Time ◽

Integer Wavelet Transform ◽

Wearable Electronics ◽

Least Significant Bit ◽

Hiding Capacity ◽

Offset Coefficient ◽

Integer Wavelet

Abstract In this work, we present an improved steganography for electrocardiogram (ECG) hosts to solve the issues of existing ECG steganographic methods, which have less hiding capacity and insufficient signal-to-noise ratio (SNR)/ peak SNR (PSNR). Based on the integer wavelet transform (IWT) domain, sensitive (or private) data such as patients’ data and personal information can be efficiently embedded in an ECG host via the IWT coefficient adjustment and the least significant bit (LSB) technique. Simulations confirmed that the SNR/ PSNR, and payload of the proposed method outperform those of existing techniques. In addition, the proposed method is capable of resisting attacks, such as cropping, Gaussian noise-addition inversion, scaling, translation, and truncation attacks from third parties (or adversaries). Due to the fast computation time, the proposed method can be employed in portable biometric devices or wearable electronics.

Download Full-text