Selective bit embedding scheme for robust blind color image watermarking
Autor: | Hyonwoo Seung, Jae Hun Bang, Dohyeong Kim, Sungyoung Lee, Nguyen Anh Tu, Byeong Ho Kang, Muhammad Bilal Amin, Cam-Hao Hua, Thien Huynh-The, Tae Ho Hur |
---|---|
Rok vydání: | 2018 |
Předmět: |
Information Systems and Management
Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing 02 engineering and technology Theoretical Computer Science Otsu's method symbols.namesake Least significant bit Most significant bit Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Computer vision Digital watermarking Mathematics Color image business.industry Binary image 020206 networking & telecommunications Watermark Pattern recognition Computer Science Applications Control and Systems Engineering symbols 020201 artificial intelligence & image processing Artificial intelligence business Software |
Zdroj: | Information Sciences. 426:1-18 |
ISSN: | 0020-0255 |
DOI: | 10.1016/j.ins.2017.10.016 |
Popis: | In this paper, we propose a novel robust blind color image watermarking method, namely SMLE, that allows to embed a gray-scale image as watermark into a host color image in the wavelet domain. After decomposing the gray-scale watermark to component binary images in digits ordering from least significant bit (LSB) to most significant bit (MSB), the retrieved binary bits are then embedded into wavelet blocks of two optimal color channels by using an efficient quantization technique, where the wavelet coefficient difference in each block is quantized to either two pre-defined thresholds for corresponding 0-bits and 1-bits. To optimize the watermark imperceptibility, we equally split the coefficient modified quantity on two middle-frequency sub-bands instead of only one as in existing approaches. The improvement of embedding rule increases approximately 3 dB of watermarked image quality. An adequate trade-off between robustness and imperceptibility is controlled by a factor representing the embedding strength. As for extraction process, we exploit 2D Otsu algorithm for higher accuracy of watermark detection than that of 1D Otsu. Experimental results prove the robustness of our SMLE watermarking model against common image processing operations along with its efficient retention of the imperceptibility of the watermark in the host image. Compared to state-of-the-art methods, our approach outperforms in most of robustness tests at a same high payload capacity. |
Databáze: | OpenAIRE |
Externí odkaz: |