Title :
Robust Hash for Detecting and Localizing Image Tampering
Author :
Roy, Sujoy ; Sun, Qibin
Author_Institution :
Inst. for Infocomm Res., Singapore
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
An image hash should be (1) robust to allowable operations and (2) sensitive to illegal manipulations and distinct queries. Some applications also require the hash to be able to localize image tampering. This requires the hash to contain both robust content and alignment information to meet the above criterion. Fulfilling this is difficult because of two contradictory requirements. First, the hash should be small and second, to verify authenticity and then localize tampering, the amount of information in the hash about the original required would be large. Hence a tradeoff between these requirements needs to be found. This paper presents an image hashing method that addresses this concern, to not only detect but also localize tampering using a small signature (< 1kB). Illustrative experiments bring out the efficacy of the proposed method compared to existing methods.
Keywords :
cryptography; digital signatures; image coding; distinct query; illegal manipulation; image tampering; robust image hashing; small signature; Feature extraction; Histograms; Hydrogen; Image coding; Image edge detection; Noise robustness; Protection; Rotation measurement; Sun; Transform coding; Locality preserving hashing; edge histogram; local region descriptors;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379535