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2016 Blind prediction-based wavelet watermarking
2016 Blind prediction-based wavelet watermarking
J. M. Guo, Y. F. Liu, J.-D. Lee, and Y.-Q. Tzeng, “Blind prediction-based wavelet watermarking,” Multimedia Tools and Applications, May 2016.
2015 Watermarking for position-mapping-based halftoning
2015 Watermarking for position-mapping-based halftoning
J. M. Guo, Y. F. Liu, S. H. Chou, and J. D. Lee, “Watermarking for positionmapping-based halftoning,” IEEE International Conference on Image Processing (ICIP), Quebec City, Canada, Step. 27-30, 2015.
2012 High Capacity Data Hiding for Error-Diffused Block Truncation Coding
2012 High Capacity Data Hiding for Error-Diffused Block Truncation Coding
Jing-Ming Guo and Yun-Fu Liu, "High capacity data hiding for error-diffused block truncation coding," IEEE Trans. Image Processing, vol. 21, no. 12, pp. 4808-4818, Dec. 2012.
Abstract:
Block Truncation Coding (BTC) is an efficient compression technique with extremely low computational complexity. Yet, the blocking effect and the false contour are the two major deficiencies in BTC which cause severe perceptual artifacts. The former scheme, Error-Diffused BTC (EDBTC), can significantly improve the above issues through the visual low-pass compensation on the bitmap, which thus widens its possible application market, yet the corresponding security issue may limit its value. In this study, a method namely Complementary Hiding EDBTC (CHEDBTC) is developed to cope the above issue. This study is managed by firstly discussing when a single watermark is embedded, and then multiple watermarks are employed to test the limitation of the proposed scheme. Herein, an adaptive external bias factor is employed to control the watermark embedding, and this factor also affects the image quality and robustness simultaneously. Experimental results demonstrate that the proposed method only requires an extremely small external bias factor to carry a watermark, and which enables a high capacity scenario without significantly damaging image quality.
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Complete article [pdf file]
2012 Oriented Modulation for Watermarking in Direct Binary Search Halftone Images
2012 Oriented Modulation for Watermarking in Direct Binary Search Halftone Images
Jing-Ming Guo, Chang-Cheng Su, Yun-Fu Liu, Hua Lee, and Jiann-Der Lee, "Oriented modulation for watermarking in direct binary search halftone images," IEEE Trans. Image Processing, vol. 21, no. 9, pp. 4117-4127, Sept. 2012.
Abstract:
In this paper, a halftoning-based watermarking method is presented. This method enables high pixel-depth watermark embedding while maintaining high image quality. This technique is capable of embedding watermarks with pixel depths up to 3 bits without causing prominent degradation to the image quality. To achieve high image quality, the parallel-oriented high-efficient Direct Binary Search (DBS) halftoning is selected to be integrated with the proposed Orientation Modulation (OM) method. The OM method utilizes different halftone texture orientations to carry different watermark data. In the decoder, the Least-Mean-Square-trained (LMS-trained) filters are applied for feature extraction from watermarked images in the frequency domain, and the naïve Bayes classifier is used to analyze the extracted features ultimately to decode the watermark data. Experimental results show that the DBS-based OM encoding method maintains a high degree of image quality, realizes processing efficiency, and robustness to be adapted in printing applications.
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Complete article [pdf file]
2012 Texture orientation modulation for halftoning watermarking
2012 Texture orientation modulation for halftoning watermarking
J. M. Guo, C. C. Su, and Y. F. Liu, “Texture orientation modulation for halftoning watermarking,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1813-1816, Kyoto, Japan, March 25-30, 2012.
2011 Halftone-Image Security Improving Using Overall Minimal-Error Searching
2011 Halftone-Image Security Improving Using Overall Minimal-Error Searching
Jing-Ming Guo and Yun-Fu Liu, "Halftone-image security improving using overall minimal-error searching," IEEE Trans. Image Processing, vol. 20, no. 10, October 2011.
Abstract:
For image-based data hiding, it is difficult to achieve good image quality when high embedding capacity and 100% data extraction are also demanded. In this study, the proposed method, namely Overall Minimal-Error Searching (OMES) is developed to meet the above requirements. Moreover, the concept of secret sharing is also adopted to distribute watermarks into multiple halftone images, and the embedded information can only be extracted when all of the marked images are gathered. The OMES modifies the halftone values at the same position of all host images with the trained Substitution Table (S-Table). The S-Table makes the original combination of these halftone values as another meaningful combination for embedding watermark, which is the key part in determining the image quality. Thus, an optimization procedure is proposed to achieve the optimized S-Table. Two different encoders, called Error-Diffused-based (ED-based) and Least-Mean-Square-based (LMS-based) approaches are also developed to cooperate with the proposed OMES to cope with high processing speed and high image quality applications, respectively. Finally, for resisting the issues caused by the print-and-scan attack, such as zooming, rotation, and dot gain effect, a compensation correction procedure is also proposed. As demonstrated in the experimental results, the proposed approach provides good image quality and is able to guard against some frequently happened attacks in printing applications.
Online resources:
Complete article [pdf file]
2010 Joint Compression/Watermarking Scheme Using Majority-Parity Guidance and Halftoning-Based Block Truncation Coding
2010 Joint Compression/Watermarking Scheme Using Majority-Parity Guidance and Halftoning-Based Block Truncation Coding
Jing-Ming Guo and Yun-Fu Liu, "Joint compression/watermarking scheme using majority-parity guidance and halftone-based block truncation coding," IEEE Trans. Image Processing, vol. 19, no. 8, pp. 2056-2069, August 2010.
Abstract:
In this paper, a watermarking scheme, called majority-parity-guided error-diffused block truncation coding (MPG-EDBTC), is proposed to achieve high image quality and embedding capacity. EDBTC exploits the error diffusion to effectively reduce blocking effect and false contour which inherently exhibit in traditional BTC. In addition, the coding efficiency is significantly improved by replacing high and low means evaluation with extreme values substitution. The proposed MPG-EDBTC embeds a watermark simultaneously during compression by evaluating the parity value in a predefined parity-check region (PCR). As documented in the experimental results, the proposed scheme can provide good robustness, image quality, and processing efficiency. Finally, the proposed MPG-EDBTC is extended to embed multiple watermarks and achieves excellent image quality, robustness, and capacity. Nowadays, most multimedia is compressed before it is stored. It is more appropriate to embed information such as watermarks during compression. The proposed method has been proved to solve effectively the inherent problems in traditional BTC and provide excellent performance in watermark embedding.
Online resources:
Complete article [pdf file]
2010 Hiding Multitone Watermarks in Halftone Images
2010 Hiding Multitone Watermarks in Halftone Images
Jing-Ming Guo and Yun-Fu Liu, "Hiding multitone watermarks in halftone images," IEEE Multimedia, vol. 17, no. 1, pp. 34-43, 2010.
Abstract:
This work presents a method with a low computational complexity to embed a multi-tone watermark. A halftone image is obtained using regular error diffusion, while the other image is obtained using the proposed Generalized Noise-Balanced Error Diffusion (GNBEDF) when, simultaneously, considering the properties of the watermark and the first halftone image. The proposed method makes the bi-level watermarking become a special case to multi-tone watermarking. The bi-level watermark decoding can be achieved via printing the two halftone images onto two transparencies, then superimposing them together to reveal the watermark pattern. However, given that the multi-tone watermark is involved, the proposed Gaussian Difference (GD) approach is required to perform the decoding to produce a decoded multi-tone watermark. Moreover, the Single Image Decodable GNBEDF (SID-GNBEDF) is also proposed for the case where only one embedded image is available in the decoder. A lowpass filter obtained by Least-Mean-Square is employed throughout this study to assess the image quality. As demonstrated in experimental results, the proposed approach can guard against reasonable attacks (cropping and print-and-scan).
Online resources:
Complete article [pdf file]
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