디지털 워터마크의 삽입용량 최적화를 위한 임계값 선택방법
Threshold Selection Method for Capacity Optimization of the Digital Watermark Insertion
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초록
본 논문은 웨이블릿 영역에서 인간시각시스템 특성, 적응 스케일(Scale) 계수와 가중치 함수를 이용하고 실험적 임계값을 적용하여 디지털 워터마크의 삽입용량 최적화를 위한 디지털 워터마킹 알고리즘을 제안하였다. 실험적 임계값을 기초로 하여 웨이블릿 영역에서 중요 계수를 찾아 디지털 워터마크의 삽입용량 최적화를 위한 워터마크를 삽입하였다. 원본영상을 3-레벨(Level)로 웨이블릿 변환하여, 저주파에 해당하는 기저대역을 제외한 나머지 모든 부대역에 워터마크 정보를 삽입하였다. 디지털 워터마크의 삽입용량 최적화를 위하여 인간시각시스템 특성을 근거로 한 적응 스케일 계수와 가중치 함수는 고려되었으며, 이 적응 스케일 계수와 가중치 함수는 강인성과 비가시성의 향상을 도모하였다. 워터마크는 가우시안 랜덤 시퀀스로 구성되어 있고 워터마크의 검출은 상관도를 이용하여 워터마크의 삽입 여부를 판단한다. 본 논문에서 제안한 방법으로 모의 실험한 결과 비교적 우수한 화질에서 JPEG 손실 압축, 잡음 첨가, 잘라내기, 흐림, 예리화, 그리고 선형 및 비선형 필터링 등의 공격에 강인함을 알 수 있었다.
Abstract
In this paper a watermarking algorithm is proposed to optimize the capacity of the digital watermark insertion in an experimental threshold using the characteristics of human visual system(HVS), adaptive scale factors, and weight functions based on discrete wavelet transform. After the original image is decomposed by a 3-level discrete wavelet transform, the watermarks for capacity optimization are inserted into all subbands except the baseband, by applying the important coefficients from the experimental threshold in the wavelet region. The adaptive scale factors and weight functions based on HVS are considered for the capacity optimization of the digital watermark insertion in order to enhance the robustness and invisibility. The watermarks are consisted of gaussian random sequences and detected by correlation. The experimental results showed that this algorithm can preserve a fine image quality against various attacks such as the JPEG lossy compression, noise addition, cropping, blurring, sharpening, linear and non-linear filtering, etc.
참고문헌 (21)
- H. Berghel, "Protection Owner Ship Rights through Digital Watermarking", IEEE Computer Magazine, pp.101~103 (1996)
- S. Katzenbeisser, "Information Hiding Techniques for Stegannography and Digital Watermarking" (2000), Artech House
- I. Cox, "Digital Watermarking" (2002), Academic Press
- N. Johnson, "Information Hiding: Steganography and Watermarking Attacks and Countermeasures" (2001), Kluwer Academic Publishers
- X. Xiao, "Second-LSB-Dependent Robust Watermarking for Relational Database", IEEE Third International Symposium on Information Assurance and Security 2007, pp.292~300 (2007)
- N. Agarwal, "Robust Watermarking in Transform Domain using Edge Detection Technique", IEEE International Conference on Computational Intelligence and Multimedia Applications 2007, pp.59~63 (2007)
- E. First, "A Composite Approach for Blind Grayscale Logo Watermarking", IEEE 2007 ICIP, 3, pp.265~268 (2007)
- A. Venkataramana, "Image Watermarking Using Krawtchouk Moments", IEEE ICCTA'07 (2007)
- Y. Lin, "An Embedded Watermark Technique in Video for Copyright Protection", IEEE ICPR'06, 4, pp.795~798 (2006)
- J. Ohnishi, "Embedding a Seal into a Picture under Orthogonal Wavelet Transform", Proceedings of the Third IEEE International Conference on Multimedia Computing and System 1996, pp.514~521 (1996)
- C. Hus, "Multiresolution Watermarks for Digital Images", IEEE Trans. Circuits Syst. II, 8(8), pp.1097~1101 (1998)
- A. Said, "A New Fast and Efficient Image Codec Based on Set Partitioning in Hierarchical Trees", IEEE Trans. on Circuits and Systems for Video Technology, 6 (1996)
- R. Dugad, "A New Wavelet-based Scheme for Watermarking Images", Proc. of IEEE ICIP '98 (1998)
- H. Wang, "Wavelet-based Digital Image Watermarking", pp.497~ (1998), Optics Express
- S. Oh, "A Wavelet Transform based Watermarking for Digital Signatures", Proc. ITU-CSCC 2000, pp.857~860 (2000)
- A. Kerckhoffs, "La Cryptographie Militaire," Journal des sciences militaires", 9, pp.5~38 (1883)
- M. Kutter, "A Fair Benchmark for Image Watermarking Systems", In Ping Wah Wong and Edward J. Delp, editors, proceedings of electronic imaging '99, security and watermarking of multimedia contents, 통권 : 3657, pp.226~239 (1999)
- G. Langelaar, "Real-time labeling of MPEG-2 compressed video", Jour. of Visual Comm. Image Representation, 9 (1998)
- M. Miller, "Computing the Probability of False Watermark Detection", Proceeding of Workshop on Information Hiding, pp.1~15 (1999)
- A. Lewis, "Image Compression Using the 2-D Wavelet Transform", IEEE Trans. Image Processing, 1(2), pp.244~250 (1992)
- M. Antonini, "Image Coding Using Wavelet Transform", IEEE Trans. Image Processing, 1(2), pp.205~220 (1992)