Short communication: The use of Boolean model for texture analysis of grey images
Computer Vision and Image Understanding
Texture Synthesis for Digital Restoration in the Bit-Plane Representation
SITIS '07 Proceedings of the 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Binary decompositions for high-order entropy coding of grayscale images
IEEE Transactions on Circuits and Systems for Video Technology
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
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In this paper we present a new method for searching duplicated areas in a digital image. The goal is to detect if an image has been tampered by a copy-move process. Our method works within a convenient domain. The image to be analyzed is decomposed in its bit-plane representation. Then, for each bit-plane, block of bits are encoded with an ASCII code, and a sequence of strings is analyzed rather than the original bit-plane. The sequence is lexicographically sorted and similar groups of bits are extracted as candidate areas, and passed to the following plane to be processed. Output of the last planes indicates if, and where, the image is altered.