Computationally efficient joint imperceptible image watermarking and JPEG compression: a green computing approach

This paper presents a computationally efficient joint imperceptible image watermarking and joint photographic experts group (JPEG) compression scheme. In recent times, the transmission and storage of digital documents/information over the unsecured channel are enormous concerns and nearly all of the...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-07, Vol.77 (13), p.16447-16459
Main Authors: Srivastava, Rohini, Kumar, Basant, Singh, Amit Kumar, Mohan, Anand
Format: Article
Language:English
Subjects:
Compression ratio
Computational efficiency
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Discrete cosine transform
Electronic documents
Embedding
Image compression
JPEG encoders-decoders
Multimedia
Multimedia Information Systems
Redundancy
Signal processing
Signal to noise ratio
Special Purpose and Application-Based Systems
Time lag
Video compression
Watermarking
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Summary:This paper presents a computationally efficient joint imperceptible image watermarking and joint photographic experts group (JPEG) compression scheme. In recent times, the transmission and storage of digital documents/information over the unsecured channel are enormous concerns and nearly all of the digital documents are compressed before they are stored or transmitted to save the bandwidth requirements. There are many similar computational operations performed during watermarking and compression which lead to computational redundancy and time delay. This demands development of joint watermarking and compression scheme for various multimedia contents. In this paper, we propose a technique for image watermarking during JPEG compression to address the optimal trade-off between major performance parameters including embedding and compression rates, robustness and embedding alterations against different known signal processing attacks. The performance of the proposed technique is extensively evaluated in the form of peak signal to noise ratio (PSNR), correlation, compression ratio and execution time for different discrete cosine transform (DCT) blocks and watermark sizes. Embedding is done on DCT coefficients using additive watermarking.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-5214-8