A Method for Identifying Interpolation Types of Image Resampling Operations

Abstract

An image resampling operation interpolation type identification method: the image resampling operation is represented as a model; an initial blind deconvolution operation is performed on the resampled image to obtain an initial kernel; initial kernels of different sizes are obtained to obtain a set of Multi-scale, different sizes of convolution kernel sets; then use a convolution kernel in the convolution kernel set and the original image corresponding to the convolution kernel to perform convolution, and compare with the resampled image, where the quality difference The smallest is the optimal core, which is the system output; the optimal core H * Expand it into a column vector; put the column vector into the classifier to train the model to obtain a classification model; repeat the above steps 1 to 5 for the image to be tested, and put the obtained column vector into the one obtained in step 6 The classification model is tested to obtain the final detection result. The detection feature dimension of the invention is low, and can effectively reduce the training time for the support vector machine (SVM) classifier. And the ability to resist compression is strong, and has excellent detection accuracy.

Description

technical field [0001] The invention relates to an image tampering detection method. In particular, it relates to an image resampling operation interpolation type identification method. Background technique [0002] With the advent of low-cost and high-resolution digital cameras and sophisticated editing software, digital images can be easily manipulated and changed. Fake digital images are often difficult to distinguish from real photos. Therefore, photographs can no longer serve as a record of the authenticity of events. Especially in the fields of judicial system and news media, the authenticity of image information plays an increasingly important role. In order to ensure the authenticity and integrity of digital information, digital image passive forensics technology came into being. Different from the active forensics technology represented by digital signature and digital watermark, the passive forensics technology is only based on the acquired digital image to fin...

AI Technical Summary

Problems solved by technology

[0005] Although the detection of resampling has been carried out for many years, there are still many problems, such as poor resistance to JPEG compression, difficulty in detection of aperiodic interpolation, and difficulty in detection of interpolation type identification in resampling operations, etc.

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