TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Robust Image Watermarking via Perceptual Structural Regularity-based JND Model |
| 영문제목(English Title) |
Robust Image Watermarking via Perceptual Structural Regularity-based JND Model |
| 저자(Author) |
Chunxing Wang
Meiling Xu
Wenbo Wan
Jian Wang
Lili Meng
Jing Li
Jiande Sun
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| 원문수록처(Citation) |
VOL 13 NO. 02 PP. 1080 ~ 1099 (2019. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
A better tradeoff between robustness and invisibility will be realized by using the just noticeable (JND) model into the quantization-based watermarking scheme. The JND model is usually used to describe the perception characteristics of human visual systems (HVS). According to the research of cognitive science, HVS can adaptively extract the structure features of an image. However, the existing JND models in the watermarking scheme do not consider the structure features. Therefore, a novel JND model is proposed , which includes three aspects: contrast sensitivity function, luminance adaptation, and contrast masking (CM). In this model, the CM effect is modeled by analyzing the direction features and texture complexity, which meets the human visual perception characteristics and matches well with the spread transform dither modulation (STDM) watermarking framework by employing a new method to measure edge intensity. Compared with the other existing JND models, the proposed JND model based on structural regularity is more efficient and applicable in the STDM watermarking scheme. In terms of the experimental results, the proposed scheme performs better than the other watermarking scheme based on the existing JND models.
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| 키워드(Keyword) |
STDM
robust JND model
watermarking robustness
structural regularity
direction energy
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| 파일첨부 |
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