Digital images watermarking and partial encryption based on DWT transformation and chaotic maps

Benrhouma, Oussama; Mannai, Olfa; Hermassi, Houcemeddine

doi:10.1109/ssd.2015.7348112

Cited by 7 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this method takes no account of the secure transmission of vector maps which is not like encryption technology. Therefore, it is necessary to combine encryption technology and digital watermarking technology for the secure transmission and copyright security of vector maps [12,13].…”

Section: Introductionmentioning

confidence: 99%

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

Zhang

Wang

et al. 2021

IJGI

View full text Add to dashboard Cite

Commutative encryption and watermarking (CEW) is an emerging method that combines encryption technology with digital watermarking technology. It has the dual capability of secure transmission and copyright protection. However, the existing CEW methods for vector maps have good robustness in resisting geometric attacks but poor resistance to vertex attacks (e.g., addition, deletion, etc.). To solve this problem, here we propose a novel invariant-based CEW algorithm for vector maps, which consists of permutation-based encryption scheme and coordinates-based watermarking scheme. In the encryption scheme, the encryption key is generated via the Gaussian distribution method combined with the SHA-512 hash method; then, the double random position permutation strategy is applied to the vector map encryption. In watermarking embedding scheme, the original watermark image is scrambled via logistic chaotic encryption before embedding, and the coordinates of all the vertices are normalized. Then, the scrambled watermark image is embedded into the normalized coordinates. Results show that: proposed method is more robust to conventional attacks (e.g., vertex addition and deletion, reordering and data format conversion) and geometric attacks (e.g., scaling and translation). In addition, compared with the existing CEW methods for vector maps, the proposed method has higher security and stronger robustness against vertex attacks.

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

Zhang

Wang

et al. 2021

IJGI

View full text Add to dashboard Cite

show abstract

“…The discrete wavelet transform has become a research hotspot in recent years because it has the characteristics of time-frequency analysis and multi-resolution analysis. 10 The DCT can distribute the watermark signal energy to all the pixels in the spatial domain. It has the characteristics of introducing human visual masking easily, easy implementation, and compatibility with international data compression standards.…”

mentioning

confidence: 99%

Blind watermarking algorithm combiningNSCT,DWT,SVD, andHVS

Fanfeng

Bai

Xiao

2022

Security and Privacy

View full text Add to dashboard Cite

In order to solve the contradiction between watermark transparency and robustness, this paper combines Non-subsampled Contourlet Transformation (NSCT), Discrete Wavelet Transformation (DWT), Singular Value Decomposition (SVD), and Human Visual System (HVS) to improve a watermarking algorithm. Firstly, this algorithm performs a first-level NSCT decomposition on the carrier image to obtain its low-frequency part, and then performs a second-level DWT on the low-frequency part, extracts its second-level low-frequency sub bands and block these sub bands to sub-blocks according to their size. Secondly, SVD is performed for each sub-block and the best embedding position of the watermark according to the sensitivity of HVS for the average brightness and the modified cosine similarity measurement method is calculated. Finally, the watermark scrambled and encrypted by Arnold is embedded into the selected singular value. This algorithm can realize the blind extraction of watermark. Experimental results show that the algorithm can not only satisfy the transparency but the robustness of the watermark at the same time as well. K E Y W O R D Sblind watermarking, digital watermarking, discrete wavelet transform, NSCT, singular value decomposition INTRODUCTIONNowadays, multimedia documents like images, audio, and video are easy to store and disseminate with the help of digital communication through internet. The document, however, can be modified by intruders during transmission or storage for illegal use. This illegal alteration is becoming a problem in many human-centric applications. Therefore, the effective protection and content certification of digital products have become a real problem and one can incorporate digital watermarking scheme to deal with such issues. Digital watermarking technology uses the principle of information hiding to embed the logo information into the carrier data in a perceptible or imperceptible way, without affecting the use value of the original carrier, protecting copyright, private communication, content authentication, and tracking infringements. 1 Digital watermarking can be applied to images, videos, audio, or texts. 2 The embedded information should be protected and extracted successfully to verify the image. Digital image watermarking can be of two types: visible and invisible. For invisible watermarking, there should not be any perceptual change in the host image. In visible watermarking, the watermark should can be seen so that the watermark can be easily detected. 3 Watermarking can be classified into blind and non-blind watermarking depending

show abstract

Multiple Security Protection Algorithm for GF-2 Images Based on Commutative Encryption and Watermarking

Zhang

Wang

et al. 2021

Spatial Data and Intelligence

View full text Add to dashboard Cite

Digital images watermarking and partial encryption based on DWT transformation and chaotic maps

Cited by 7 publications

References 8 publications

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

A Novel Invariant Based Commutative Encryption and Watermarking Algorithm for Vector Maps

Blind watermarking algorithm combiningNSCT,DWT,SVD, andHVS

Multiple Security Protection Algorithm for GF-2 Images Based on Commutative Encryption and Watermarking

Contact Info

Product

Resources

About