Journal of the Institute of Convergence Signal Processing (융합신호처리학회논문지)

The Korea Institute of Convergence Signal Processing (한국융합신호처리학회)
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A GCST-based Digital Image Watermarking Scheme

GCST 기반 디지털 영상 워터마킹 방법

  • Received : 2012.06.07
  • Accepted : 2012.08.01
  • Published : 2012.07.30
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Abstract

Various image transformations can be used to compress images, to reduce noises in images and to extract useful features. Watermarking techniques using DCT and DWT have been a lot of research interest in the spread of multimedia contents. In this paper, Gabor cosine and sine transform considered as human visual filter is applied to embedding and extraction of watermarks for digital images. The proposed transform is used for watermarking with fifteen attacks. Randomly normal distributed noises are used as an embedded watermark. To measure the similarity between the embedded watermark and extracted one, a correlation value is computed and furthermore is compared with that of existing DCT method. Correlation values of extracted watermark are computed with randomly normal distributed noise sequences, and the sequence with the largest correlation value is declared as the embedded watermark. Frequency components are divided into various bands. Experimental results for low frequency and mid-frequency bands have shown that the proposed GCST provides a good watermarking algorithm and its performance is better than DCT.

여러 영상 변환들은 영상을 압축하고, 영상 속에 존재하는 잡음을 제거하고, 유용한 특징을 추출하기 위해서 사용될 수 있다. DCT와 DWT 변환은 멀티미디어의 확산으로 워터마킹 기법에 많이 연구되고 있다. 본 논문에서는 인간시각필터로 고려되는 Gabor 코사인과 사인 함수를 이용한 변환을 디지털 영상의 워터마크 삽입과 추출에 사용하였다. 15가지 공격에 대해서 제안한 변환 방법을 워터마킹에 적용한다. 삽입한 워터마크는 무작위 정규분포 잡음이고, 삽입한 워터마크와 추출한 워터마크 사이의 유사성을 측정하기 위하여 상관값을 계산하였으며, 기존의 DCT 방법과 성능을 비교하였다. 추출된 워터마크는 무작위 정규분포 시퀀스와 상관값을 계산하여 가장 큰 값을 갖는 시퀀스를 삽입된 워터마크로 선언하였다. 주파수 성분을 여러 대역으로 구분하여, 저주파와 중간 주파수 대역에서 실험한 결과는 제안한 방법이 좋은 워터마킹 방법으로 사용할 수 있음을 나타내며, 아울러 DCT보다 더 좋은 성능을 보여준다.

Keywords

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