An Improved Camera Identification Method based on the Texture Complexity and the Image Restoration
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- 발행기관
- 보안공학연구지원센터(IJHIT) 바로가기
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- 간행물
- International Journal of Hybrid Information Technology 바로가기
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- 통권
- Vol.3 No.1 (2010.01)바로가기
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- 페이지
- pp.17-28
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A118888
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The identification of source camera is useful to improve the capability of evidence in the digital image such as distinguish the photographer taking illegal images and adopting digital images as evidence of crime. Lukášš, et al. showed the method for source camera identification based on the correlation of PNU (pixel non-uniformity) noise. However, the wavelet-based denoising filter for suppressing the random noise reduces the accuracy of camera identification. It is caused by the fact that the denoising filter diffuses the edge and makes the PNU noise less pronounced. Moreover, it is difficult to extract PNU noise from the images taken by cameras which are equipped with the image improvement functions such as motion blur correction, contrast enhancement, and noise reduction. In this paper, we propose a method for improving the camera identification accuracy by selecting pixels based on the texture complexity. We also propose a method for improving the identification accuracy by applying the image restoration method.
목차
Abstract
1. Introduction
2. Camera identification method based on the sensor pattern noise
2.1. Noise of digital images
2.2. Pattern noise
2.3. Noise residual
2.4. Reference pattern
2.5. Calculation of correlation
2.6. Detection by correlation
3. Texture complexity and reliability of identification
3.1. Detection by correlation
3.2. Pixel selection by intensity variance
3.3. Experimental results of pixel selection
4. Improvement by image restoration
4.1. Effect of image processing engine for identification accuracy
4.2. Improve identification accuracy by image restoration
4.3. Restoration by point spread function
4.4. Experimental results and discussion
5. Conclusions and future works
References
키워드
PNU Noise Camera Identification Image Restoration.저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
- 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 Hybrid Information Technology
- 간기
- 격월간
- pISSN
- 1738-9968
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.3 No.1
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