Journal
OPTIK
Volume 125, Issue 18, Pages 5102-5107Publisher
ELSEVIER GMBH
DOI: 10.1016/j.ijleo.2014.05.015
Keywords
Robust hashing; Image hashing; Image copy detection; Image retrieval
Categories
Funding
- Natural Science Foundation of China [61300109, 61363034]
- Guangxi Natural Science Foundation [2012GXNSFBA053166, 2012GXNSFGA060004]
- Guangxi Bagui Scholar Teams for Innovation and Research
- Training Project for Excellent Middle-aged/Young Teachers in Guangxi Higher Education Institutions
- Guangxi Key Laboratory of Trusted Software [kx201327]
- Scientific and Technological Research Projects of Chongqing's Education Commission [KJ121310]
- Scientific and Technological Program of Fuling District of Chongqing (FLKJ) [2012ABA1056]
- Innovation Project of Guangxi Graduate Education [YCSZ2012058]
Ask authors/readers for more resources
Image hashing is an emerging technology of multimedia processing. This paper proposes a robust image hashing with dominant discrete cosine transform (DCT) coefficients. The proposed hashing converts the input image to a normalized image, divides it into non-overlapping blocks, extracts dominant DCT coefficients in the first row/column of each block to construct feature matrices, and finally conducts matrix compression by calculating and quantifying column distances. Many experiments are conducted and the results show that the proposed hashing is robust against normal digital operations and has desirable discrimination. Receiver operating characteristics (ROC) curve comparisons indicate that the proposed hashing is better than some notable image hashing. (C) 2014 Elsevier GmbH. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available