Image Encryption based on Chaotic Map and Reversible Integer Wavelet Transform

Abstract In recent years, there has been growing interesting in image encryption based on chaotic maps and wavelet transform. In this paper, a novel scheme for image encryption based on chaotic maps and reversible integer wavelet transform is proposed. Firstly, the cipher key which is related to plain-image is used to generate different parameters and initial values of chaotic maps. Then the plain-image is permuted by the order from chaotic maps, and processed by integer wavelet transform. A part of transform coefficient is diffused by the orbits of chaotic maps. Finally, the cipher image is obtained by inverse integer wavelet transform based on the diffused coefficient. Numerical experimental results and comparing with previous works show that the proposed scheme possesses higher security than previous works, which is suitable for protecting the image information.

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Reversible Integer Wavelet Transform for the Joint of Image Encryption and Watermarking

Mathematical Problems in Engineering ◽

10.1155/2015/935741 ◽

2015 ◽

Vol 2015 ◽

pp. 1-11 ◽

Cited By ~ 1

Author(s):

Bin Wang

Keyword(s):

Wavelet Transform ◽

Image Encryption ◽

Chaotic Maps ◽

Integer Wavelet Transform ◽

Histogram Modification ◽

Encrypted Image ◽

Considerable Research ◽

Plain Image ◽

Lossless Watermarking ◽

Integer Wavelet

In recent years, signal processing in the encrypted domain has attracted considerable research interest, especially embedding watermarking in encrypted image. In this work, a novel joint of image encryption and watermarking based on reversible integer wavelet transform is proposed. Firstly, the plain-image is encrypted by chaotic maps and reversible integer wavelet transform. Then the lossless watermarking is embedded in the encrypted image by reversible integer wavelet transform and histogram modification. Finally an encrypted image containing watermarking is obtained by the inverse integer wavelet transform. What is more, the original image and watermarking can be completely recovered by inverse process. Numerical experimental results and comparing with previous works show that the proposed scheme possesses higher security and embedding capacity than previous works. It is suitable for protecting the image information.

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Image Encryption using Integer Wavelet Transform, Chaotic Maps and DNA rules

2018 International Conference on Electrical, Electronics, Communication, Computer, and Optimization Techniques (ICEECCOT) ◽

10.1109/iceeccot43722.2018.9001553 ◽

2018 ◽

Author(s):

Ramya Veena U ◽

V Thanikaiselvan

Keyword(s):

Wavelet Transform ◽

Image Encryption ◽

Chaotic Maps ◽

Integer Wavelet Transform ◽

Integer Wavelet ◽

Dna Rules

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Pengamanan Citra Dengan Kombinasi Modified Serpent IWT Dengan Modified Logistic Chaotic Map

JATISI (Jurnal Teknik Informatika dan Sistem Informasi) ◽

10.35957/jatisi.v8i3.1019 ◽

2021 ◽

Vol 8 (3) ◽

pp. 1090-1104

Author(s):

Kelvin Lysander ◽

Allwin M Simarmata ◽

Denniel Lusandy ◽

Iswandi Iswandi

Keyword(s):

Wavelet Transform ◽

Chaotic Map ◽

Cover Image ◽

Integer Wavelet Transform ◽

Logistic Chaotic Map ◽

Integer Wavelet

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.

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