A PSO Based Image Disguise Method

Author

Wang, Shen ; Niu, Xiamu

Author_Institution

Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin, China

fYear

2011

fDate

16-18 Dec. 2011

Firstpage

129

Lastpage

132

Abstract

When the tampered JPEG image is saved, it was re-compressed. After double compression, the amounts of some DCT coefficient values decrease greatly. The pattern can be easily detected by statistics methods. To defend this forensic method, we established a model to evaluate the security and image quality influenced by the re-compression. Base on the model, an optimized adjustment of the DCT coefficients is achieved by PSO (Particle Swarm Optimization). Results show that the traces of double compression are removed but well preserving the image quality.

Keywords

computer forensics; data compression; discrete cosine transforms; image coding; particle swarm optimisation; statistical analysis; DCT coefficient values; PSO based image disguise method; double compression; forensic method; image quality evaluation; particle swarm optimization; security evaluation; statistics methods; tampered JPEG image; Discrete cosine transforms; Forensics; Histograms; Image coding; Image quality; Mathematical model; Security; Double; Evaluation Model; Image Forensic;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Bio-inspired Computing and Applications (IBICA), 2011 Second International Conference on

Conference_Location

Shenzhan

Print_ISBN

978-1-4577-1219-7

Type

conf

DOI

10.1109/IBICA.2011.36

Filename

6118678