Lip print recognition using LBP based on bit plane

This paper analyzes the security of image encryption systems based on bit plane extraction and multi chaos. It includes a bit-level permutation for high, 4-bit planes and bit-wise XOR diffusion, and finds that the key streams in the permutation and diffusion phases are independent of the plaintext image. Therefore, the equivalent diffusion key and the equivalent permutation key can be recovered by the chosen-plaintext attack method, in which only two special plaintext images and their corresponding cipher images are used. The effectiveness and feasibility of the proposed attack algorithm is verified by a MATLAB 2015b simulation. In the experiment, all the key streams in the original algorithm are cracked through two special plaintext images and their corresponding ciphertext images. In addition, an improved algorithm is proposed. In the improved algorithm, the generation of a random sequence is related to ciphertext, which makes the encryption algorithm have the encryption effect of a “one time pad”. The encryption effect of the improved algorithm is better than that of the original encryption algorithm in the aspects of information entropy, ciphertext correlation analysis and ciphertext sensitivity analysis.

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An embedded speech and audio coding method based on bit-plane coding and SQVH

2009 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) ◽

10.1109/isspit.2009.5407486 ◽

2009 ◽

Author(s):

Mao-shen Jia ◽

Chang-chun Bao ◽

Xin Liu

Keyword(s):

Audio Coding ◽

Bit Plane Coding ◽

Coding Method ◽

Bit Plane ◽

Speech And Audio Coding

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Data hiding scheme improving embedding capacity using mixed PVD and LSB on bit plane

Journal of Real-Time Image Processing ◽

10.1007/s11554-017-0719-y ◽

2017 ◽

Vol 14 (1) ◽

pp. 127-136 ◽

Cited By ~ 20

Author(s):

Ki-Hyun Jung

Keyword(s):

Data Hiding ◽

Embedding Capacity ◽

Bit Plane

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Quantum color image watermarking based on fast bit-plane scramble and dual embedded

International Journal of Quantum Information ◽

10.1142/s0219749918500600 ◽

2018 ◽

Vol 16 (07) ◽

pp. 1850060 ◽

Cited By ~ 1

Author(s):

Ri-Gui Zhou ◽

Peng Liu Yang ◽

Xing Ao Liu ◽

Hou Ian

Keyword(s):

Nearest Neighbor ◽

Color Image ◽

Interpolation Method ◽

Image Watermarking ◽

Extraction Process ◽

Watermark Image ◽

Color Image Watermarking ◽

Encryption Algorithms ◽

Bit Plane ◽

Watermarking Scheme

Most of the studied quantum encryption algorithms are based on square images. In this paper, based on the improved novel quantum representation of color digital images model (INCQI), a quantum color image watermarking scheme is proposed. First, INCQI improved from NCQI is used to represent the carrier and watermark images with the size [Formula: see text] and [Formula: see text], respectively. Secondly, before embedding, the watermarking needs to be preprocessed. That is, the watermark image with the size of [Formula: see text] with 24-qubits color information is disordered by the fast bit-plane scramble algorithm, and then further expanded to an image with the size [Formula: see text] with 6-qubits pixel information by the nearest-neighbor interpolation method. Finally, the dual embedded algorithm is executed and a key image with 3-qubits information is generated for retrieving the original watermark image. The extraction process of the watermark image is the inverse process of its embedding, including inverse embedding, inverse expand and inverse scrambling operations. To show that our method has a better performance in visual quality and histogram graph, a simulation of different carrier and watermark images are conducted on the classical computer’s MATLAB.

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