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

2017 ◽  
Vol 77 (13) ◽  
pp. 16447-16459 ◽  
Author(s):  
Rohini Srivastava ◽  
Basant Kumar ◽  
Amit Kumar Singh ◽  
Anand Mohan
Keyword(s):  
Image Watermarking ◽  
Jpeg Compression ◽  
Green Computing ◽  
Computationally Efficient ◽  
Computing Approach

NOVEL SELF-REFERENCE BASED IMAGE WATERMARKING SCHEME

2010 ◽  
Vol 19 (02) ◽  
pp. 491-502 ◽  
Author(s):  
YONG-GANG FU ◽  
RUIMIN SHEN
Keyword(s):  
Image Watermarking ◽  
Extraction Process ◽  
Jpeg Compression ◽  
Reference Image ◽  
Original Image ◽  
Quantization Step ◽  
Dct Transform ◽  
Gray Level Image ◽  
Watermarking Scheme ◽  
Self Reference

In this paper, a novel image watermarking scheme based on a self-reference technique is proposed. The meaningful watermark is embedded into a gray-level image according to the relation between the constructed reference image and the original host. In order to be robust against Jpeg compression, the reference image should be robust under Jpeg compression. Firstly, the original image is transformed into DCT domain; and then most of the high frequency coefficients are omitted; after the quantization step and inverse DCT transform, we can obtain a robust reference. By considering the relation between the original image and its reference, we can embed the watermark into the host. The watermark extraction process is oblivious. Experimental results under several attacks show good robustness of the proposed scheme. Especially under cropping and Jpeg compression attacks, the watermark can be extracted with only few errors.

Improving the robustness of DCT-based image watermarking against JPEG compression

2010 ◽  
Vol 32 (1-2) ◽  
pp. 54-60 ◽  
Author(s):  
Shinfeng D. Lin ◽  
Shih-Chieh Shie ◽  
J.Y. Guo
Keyword(s):  
Image Watermarking ◽  
Jpeg Compression

Robust and Secured Medical Image Watermarking Using Daub4 and CoAST Transforms

2018 ◽  
Vol 8 (9) ◽  
pp. 1857-1864
Author(s):  
V. Kavitha ◽  
C. Palanisamy ◽  
T. Sureshkumar
Keyword(s):  
Medical Image ◽  
Medical Images ◽  
Image Watermarking ◽  
Singular Values ◽  
Jpeg Compression ◽  
Experimental Results ◽  
Watermark Image ◽  
Shearlet Transform ◽  
Medical Image Watermarking ◽  
Hybrid Watermarking

A hybrid watermarking technique using wavelet and Shearlet transform is proposed in this paper. The DWT variant Daub4 transform model is applied on the medical image to generate different frequency sub-bands. The HL and LH sub-bands which are resistant to compression attacks are chosen for second level of transformation, a DST variant 'Cone adaptive Shearlet transform' technique is used to calculate the Shearlet coefficients of the selected sub-bands. By using SVD on the Shearlet coefficients, the singular values of watermark image are embedded into the singular values of the host image. The proposed approach is examined using three medical images and a watermark image. The experimental results show that the proposed approach is robust against JPEG compression, Geometric and Noise attacks.

scholarly journals Space-time collocation method: Loop quantum Hamiltonian constraints

2020 ◽  
Vol 31 (11) ◽  
pp. 2050166
Author(s):  
A. Yonika ◽  
A. Heryudono ◽  
G. Khanna
Keyword(s):  
Collocation Method ◽  
Space Time ◽  
Hamiltonian Constraint ◽  
Computationally Efficient ◽  
Partial Difference ◽  
Study Results ◽  
Quantum Hamiltonian ◽  
Collocation Approach ◽  
Discrete Values ◽  
Computing Approach

A space-time collocation method (STCM) using asymptotically-constant basis functions is proposed and applied to the quantum Hamiltonian constraint for a loop-quantized treatment of the Schwarzschild interior. Canonically, these descriptions take the form of a partial difference equation (PDE). The space-time collocation approach presents a computationally efficient, convergent, and easily parallelizable method for solving this class of equations, which is the main novelty of this study. Results of the numerical simulations will demonstrate the benefit from a parallel computing approach; and show general flexibility of the framework to handle arbitrarily-sized domains. Computed solutions will be compared, when applicable, to a solution computed in the conventional method via iteratively stepping through a predefined grid of discrete values, computing the solution via a recursive relationship.

Low energy aware communication process in IoT using the green computing approach

IET Networks ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 258-264 ◽  
Author(s):  
Suresh Kallam ◽  
Rajasekhara Babu Madda ◽  
Chi‐Yuan Chen ◽  
Rizwan Patan ◽  
Dhanaraj Cheelu
Keyword(s):  
Green Computing ◽  
Low Energy ◽  
Communication Process ◽  
Energy Aware ◽  
Computing Approach
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