Method for detecting region duplication and forgery of color image

Abstract

The invention discloses a method for detecting region duplication and forgery of a color image, comprising first removing noises in a color image to be detected; dividing the color image subjected to noise processing into blocks with pixels in only one row or one column being different between two adjacent image blocks; quantizing pixels of the three channels of red, green, and blue for each image block, dividing each channel into M segments according to gray scales, calculating the number of pixels in each segment and taking the number as a feature value of the corresponding image block, combining all the obtained feature values of the three channels and taking the combined value as a feature vector D of the image block; a similarity matching between one image block and the other image blocks by using feature vectors of each image block to acquire a correctly matched pair of image blocks; and building a binary image which is of the same size as the detected image with gray scale of each pixel point being zero, labeling the position of the obtained correctly matched pair of image blocks into the binary image, and detecting region duplication and forgery of the color image in the obtained binary image which is generated by detecting results.

Description

technical field [0001] The invention belongs to the technical field of information security, and particularly relates to a method for detecting whether a color image area has been copied and tampered and locating the copied area and the tampered area. It can effectively detect the copying and tampering of regions under geometric transformations such as zooming and flipping, and can be used for authenticity identification and forensics of digital images in network environments. Background technique [0002] The rapid development of communication technology, computers and the Internet has enabled people to share resources and easily obtain images, audio and video on the Internet. However, due to the popularity and application of various image processing software, ordinary users can tamper with digital images at will without leaving traces of processing that can be seen by human eyes. This makes seeing not necessarily believing. If these false pictures are widely disseminated ...

AI Technical Summary

Problems solved by technology

[0005] The above method can only detect the image that has not undergone geometric transformation in the tampered area. However, in order to cover up the traces of tampering, the tamperer may perform certain geometric deformations on the copied target, such as rotating, scaling, flipping and other transformations on the area. Make the above methods impotent against such zone copy tampering

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