Recolored image evidence obtaining method based on spatial correlation

A spatial correlation and image technology, applied in image analysis, image data processing, filling planes with attributes, etc., can solve problems such as recoloring scenes without special processing

Pending Publication Date: 2022-03-18
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

However, hard-coded operations (such as R-G) of difference images are not necessarily the best correlation representation, and the method has only been validated on traditional image recoloring methods.
Furthermore, there is currently no work specifically dealing with recoloring scenes based on deep learning

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  • Recolored image evidence obtaining method based on spatial correlation
  • Recolored image evidence obtaining method based on spatial correlation
  • Recolored image evidence obtaining method based on spatial correlation

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Embodiment Construction

[0025] A method for recoloring image forensics based on spatial correlation, comprising the following steps:

[0026]Step 1, construct training set and test set. Before constructing the training set, we divide the ImageNet validation dataset into 1000 categories by category, and then randomly divide the pictures in each category into two parts as style pictures and content pictures respectively. Due to the stronger content correlation of images in the same category, this process avoids excessive artifacts in the dataset due to irrelevance or weak correlation of style images and content images. The training set D1 includes three subsets. First, we use the traditional recoloring method [E. Reinhard, M. Adhikhmin, B. Gooch, and P. Shirley, “Color transfer between images,” IEEE Comput.Graph.Appl., vol.21, no.5, pp.34–41, 2001.] to generate the first sub-training set consisting of about 19,000 pairs of natural images and corresponding recolored image pairs. The above generation ...

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Abstract

The invention discloses a recoloring image evidence obtaining method based on spatial correlation. The method comprises the following steps: 1, constructing a training set and a test set by using images processed by multiple recoloring algorithms and corresponding natural images; 2, extracting spatial correlation characteristics, and calculating co-occurrence matrixes of each color channel of the image in four directions; 3, constructing a feature learning network; 4, training the designed model by using the constructed training set and the corresponding label set; and 5, predicting the images of the test set by using the stored optimal model weight, and distinguishing natural images from re-colored images. According to the invention, the preset network model is trained to obtain the re-colored image detection model after training, whether one picture is subjected to re-coloring tampering or not is accurately detected by using the re-colored image detection model, and the method plays an important role in various practical application occasions related to image security.

Description

technical field [0001] The invention relates to the technical field of image processing and information security, in particular to a recoloring image forensics method based on spatial correlation. Background technique [0002] As an important information medium, images are widely used to release news and record events. For a long time, people are used to seeing is believing. However, with the rapid spread of image editing software such as Adobe Photoshop and GIMP, digital images can be easily and inexpensively edited by anyone, resulting in content that is fairly indistinguishable to humans. In addition to the most common editing operations, such as copy-paste, stitching, repair, etc., a new image editing technology-image recoloring technology has emerged. [0003] Unlike common operations that alter image content by adding or removing regions of interest, image recoloring aims to change the theme or style of an image by tampering with color values ​​without compromising d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/90G06T11/40G06V10/26G06V10/774G06K9/62G06N3/04
CPCG06T7/90G06T11/40G06N3/045G06F18/214
Inventor 陈诺张玉书祁树仁
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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