The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
우리는 DCT(Discrete Cosine Transform) 기반의 데이터 임베딩 방법과 함께 SIFT(Scale-Invariant Feature Transform)를 사용하는 강력한 객체 기반 워터마킹 알고리즘을 제시합니다. 선택한 객체 영역에서 무작위로 생성된 블록의 DCT 도메인에 메시지가 삽입됩니다. 왜곡된 객체 영역을 인식하기 위해 해당 객체의 SIFT 기능을 미리 등록합니다. 탐지 방식에서는 왜곡된 이미지에서 SIFT 특징을 추출하고 이를 등록된 특징과 일치시킵니다. 그런 다음 SIFT를 사용하여 일치 결과에서 얻은 변환 매개변수를 기반으로 왜곡된 객체 영역을 복구하고 워터마크가 표시된 메시지를 탐지할 수 있습니다. 실험 결과는 제안한 알고리즘이 JPEG 압축, 스케일링, 회전, 전단, 종횡비 변경, 이미지 필터링과 같은 왜곡에 매우 강력하다는 것을 보여주었습니다.
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Viet-Quoc PHAM, Takashi MIYAKI, Toshihiko YAMASAKI, Kiyoharu AIZAWA, "Robust Object-Based Watermarking Using Feature Matching" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 7, pp. 2027-2034, July 2008, doi: 10.1093/ietisy/e91-d.7.2027.
Abstract: We present a robust object-based watermarking algorithm using the scale-invariant feature transform (SIFT) in conjunction with a data embedding method based on Discrete Cosine Transform (DCT). The message is embedded in the DCT domain of randomly generated blocks in the selected object region. To recognize the object region after being distorted, its SIFT features are registered in advance. In the detection scheme, we extract SIFT features from the distorted image and match them with the registered ones. Then we recover the distorted object region based on the transformation parameters obtained from the matching result using SIFT, and the watermarked message can be detected. Experimental results demonstrated that our proposed algorithm is very robust to distortions such as JPEG compression, scaling, rotation, shearing, aspect ratio change, and image filtering.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.7.2027/_p
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@ARTICLE{e91-d_7_2027,
author={Viet-Quoc PHAM, Takashi MIYAKI, Toshihiko YAMASAKI, Kiyoharu AIZAWA, },
journal={IEICE TRANSACTIONS on Information},
title={Robust Object-Based Watermarking Using Feature Matching},
year={2008},
volume={E91-D},
number={7},
pages={2027-2034},
abstract={We present a robust object-based watermarking algorithm using the scale-invariant feature transform (SIFT) in conjunction with a data embedding method based on Discrete Cosine Transform (DCT). The message is embedded in the DCT domain of randomly generated blocks in the selected object region. To recognize the object region after being distorted, its SIFT features are registered in advance. In the detection scheme, we extract SIFT features from the distorted image and match them with the registered ones. Then we recover the distorted object region based on the transformation parameters obtained from the matching result using SIFT, and the watermarked message can be detected. Experimental results demonstrated that our proposed algorithm is very robust to distortions such as JPEG compression, scaling, rotation, shearing, aspect ratio change, and image filtering.},
keywords={},
doi={10.1093/ietisy/e91-d.7.2027},
ISSN={1745-1361},
month={July},}
부
TY - JOUR
TI - Robust Object-Based Watermarking Using Feature Matching
T2 - IEICE TRANSACTIONS on Information
SP - 2027
EP - 2034
AU - Viet-Quoc PHAM
AU - Takashi MIYAKI
AU - Toshihiko YAMASAKI
AU - Kiyoharu AIZAWA
PY - 2008
DO - 10.1093/ietisy/e91-d.7.2027
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2008
AB - We present a robust object-based watermarking algorithm using the scale-invariant feature transform (SIFT) in conjunction with a data embedding method based on Discrete Cosine Transform (DCT). The message is embedded in the DCT domain of randomly generated blocks in the selected object region. To recognize the object region after being distorted, its SIFT features are registered in advance. In the detection scheme, we extract SIFT features from the distorted image and match them with the registered ones. Then we recover the distorted object region based on the transformation parameters obtained from the matching result using SIFT, and the watermarked message can be detected. Experimental results demonstrated that our proposed algorithm is very robust to distortions such as JPEG compression, scaling, rotation, shearing, aspect ratio change, and image filtering.
ER -