A novel public digital watermarking for still images based on encryption algorithm

Digital watermarking was introduced as a result of rapid advancement of networked multimedia systems. It had been developed to enforce copyright technologies for cover of copyright possession. This technology is first used for still images however recently they need been developed for different multimedia objects like audio, video etc. Watermarking, that belong to the information hiding field, has seen plenty of research interest. There's a lot of work begin conducted in numerous branches in this field. The image watermarking techniques might divide on the idea of domain like spatial domain or transform domain or on the basis of wavelets. The copyright protection, capacity, security, strength etc are a number of the necessary factors that are taken in account whereas the watermarking system is intended. This paper aims to produce a detailed survey of all watermarking techniques specially focuses on image watermarking types and its applications in today’s world.

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A Framework for Image Encryption on Frequency Domain

Exploring Security in Software Architecture and Design - Advances in Information Security, Privacy, and Ethics ◽

10.4018/978-1-5225-6313-6.ch010 ◽

2019 ◽

pp. 247-259

Author(s):

Zhe Liu ◽

Mee Loong Yang ◽

Wei Qi Yan

Keyword(s):

Image Encryption ◽

Digital Watermarking ◽

Logistic Map ◽

Low Frequency ◽

Singular Value ◽

Encryption Algorithm ◽

Discrete Wavelet ◽

Secret Key ◽

Value Decomposition ◽

Image Encryption Algorithm

In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.

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