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Study on Elemental Techniques of Image Search Method using Pixel Value Histograms for Ornament Attacked Images
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.8 No.3 (2015.03)바로가기
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- 페이지
- pp.11-22
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A242109
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- There is a similar image retrieval method which uses a normalized histogram of the pixel values of the original image and that of the pixel values of the illegally copied search target image. In this method, when the correlation coefficient between the two histograms is greater than a predetermined threshold value, the target image is to determine to be similar to the original image. However, the contents of the image that has received ornament attack is different from the contents of the original image, this means that it is searching for images similar to the original image is very difficult. In general, ornament processing of the image is applied to the peripheral region of the image. Therefore, if only the pixels to limit in the ROI (region of interest) which are not affected by the ornament attack are used to create the normalized histogram, it may be effective. We, in order to extract only the pixels included in the ROI, have proposed a method of using a mask image. In this paper, it describes some detailed study about the element techniques including using the mask image and normalization histogram. Moreover, the computer simulations show the effectiveness of these element techniques.
목차
Abstract
1. Introduction
2. Pre-search in Two-Stage Image Search Model
2.1. Two-Stage Image Search Model
2.2. Basic Algorithm for the Pre-search
3. Elemental Techniques
3.1. Histogram Normalization
3.2. Filtering for Normalized Histogram
3.3. Proposal of Mask Image Use for the Ornaments Attack Image
4. Proposal of Evaluation Method of Arbitrary Amount of Attack for Rotation and Scaling
5. Simulation and Results for a Case of any Rotation and Scaling Attack
6. Conclusions
Acknowledgements
References
키워드
digital watermark image search correlation coefficient pixel value histogram ROI저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8 No.3
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