Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:A1L-A

Session:

Number:5

Morphological pattern spectrum-based image manipulation detector

Takeshi Kumaki,  Zarina Binti Rafii,  Tomohiro Fujita,  Mamoru Nakanishi,  Takeshi Ogura,  

pp.5-8

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.5

PDF download (658.3KB)

This paper presents a morphological pattern spectrum-based image manipulation detector with a highly-parallel two-dimensional cellular automata architecture (CAM²). A novel proposed image-manipulation method consists of a mathematical morphological-based algorithm, which can extract an unique feature information from an digital original image, and a block-cipher algorithm, which can protect the above unique information. Themorphological pattern spectrum has been implemented with a CAM² instruction-set program and tested with an evaluation system. From some manipulated-images analyses, the proposed detection method can show obviously different from the original image. Furthermore, for verifying the number of encryption clock cycles on the CAM², an AES algorithm has been implemented. Then, the obtained processing capability of the CAM² is up to 58% smaller than with conventional processors. Consequently, the proposed image-manipulation detector with the CAM² is very effective method for an investigation of crime and a photographic evidence.

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