NDLI: Digital image watermarking based on Super-Resolution Image Reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Xiangbin Feng Yonghong Chen
Copyright Year	2012
Description	Author affiliation: College of Computer Science & Technology, Huaqiao University, Xiamen, China (Xiangbin Feng; Yonghong Chen)
Abstract	In this paper we present a novel algorithm based on Super-Resolution Image Reconstruction (SRIR). We use pattern recognition method to optimize the performance of digital watermarking. First, the binary watermarking is scanned to one-dimension sequence before embedding, at the same time, we chose a mixed error-correcting code–(3,1,2)convolutional code and (3,1) repetition code to encode the original watermarking, and the sequence is inputted into the (3,1,2) convolution encoder and (3,1) repetition encoder frame by frame. The output sequence is scanned to some matrixes as the watermarking information. Second, the super-resolution reconstruction of image sparse representation is implemented on carrier image. Then, block the image and the watermarking which is encoded with mixed error-correcting code is embedded in low frequency band of the Discrete Wavelet Transform (DWT) repeatedly. Experimental results show that our image watermarking scheme with SRIR is better than the traditional one which is without SRIR, not only invisible, but also robust against various common signal processing (such as JPEG compression, salt and pepper noise, Gaussian low-pass filtering, and median filtering).
Starting Page	1778
Ending Page	1782
File Size	375983
Page Count	5
File Format	PDF
ISBN	9781467300254
e-ISBN	9781467300247
DOI	10.1109/FSKD.2012.6233979
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	error-correcting code (ECC) Image resolution Dictionaries PSNR digital watermarking Super-Resolution Image Reconstruction Watermarking Robustness digital image Image reconstruction
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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