Spliced image-tamper detection method based on color filter array characteristic

Abstract

The invention discloses a spliced image-tamper detection method based on color filter array characteristic. The method comprises the steps as follows: the first step, preprocessing: dividing an image to be detected as a plurality of image blocks, the second step, estimating an original image model; the third step, using an edge detection operator to perform tamper locating detection. The spliced image-tamper detection method based on color filter array characteristic of the invention uses change or difference characteristics of periodic relative model among image pixels introduced by color filter array interpolation to perform tamper detection of spliced image. The spliced image-tamper detection method based on color filter array characteristic of the invention not only can detect when the image is spliced and tempered, but also can detect the position of the tempered area. Because a Canny operator is introduced in the temper locating period, the algorithm has relative high tamper locating accuracy, that is to say the method could accurately locate the edge which is tempered, and effectively restrain a false edge. The spliced image-tamper detection method based on color filter array characteristic of the invention has better robustness in terms of image processing operations whose content is held, such as JPEG compressing, different types of filtering, noise adding, and so on.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a method for detecting tampering of spliced ​​images based on the characteristics of a color filter array. Background technique [0002] During the rapid development of digital imaging technology, digital photos are applied in all aspects of our lives. However, the wide application of various image processing software can conveniently perform some processing operations on images, such as partial modification, splicing, retouching and other computer processing, which makes tampering with images ubiquitous, causing the content authenticity of digital images to change. It is no longer reliable and cannot be used as strong evidence in some legal cases, news media, scientific research results, medical diagnoses, and financial events. Therefore, how to detect the authenticity of digital image content has become an important hot issue and a difficult problem to be ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a mosaic image tampering detection method based on the characteristics of the color filter array, which solves the problems in the prior art that the mosaic image area cannot be accurately located and the algorithm is not robust, and it can accurately locate the mosaic image. Fake digital image regions and be robust to content-preserving image processing operations such as JPEG compression, noise addition, filtering, gamma correction, etc.

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