Multi-feature fusion based image copying detection method

Abstract

The invention discloses a multi-feature fusion based image copying detection method. The multi-feature fusion based image copying detection method comprise the following steps of 1 extracting and stitching multiple groups of features of a training image, 2 utilizing a classifier to generate a training model, 3 extracting and stitching multiple groups of features of an image to be trained and 4 utilizing the generated training model and utilizing the classifier to judge the image to be trained. The multi-feature fusion based image copying detection method is different from any image copying detection method in the prior art and is a novel effective detection method.

Description

technical field [0001] The present invention relates to image reproduction detection technology, more specifically, relates to an image reproduction detection method based on multi-feature fusion. Background technique [0002] With the continuous improvement of image display technology, people can obtain high-quality reproduced images through many methods, and more and more criminals are beginning to use such images in illegal ways. It's a remake. In view of the potential harm that remake images may bring to social order and public safety, the research on remake image detection has become an important topic. [0003] At present, image remake detection can be divided into three categories: from the perspective of display medium characteristics, from the perspective of color restoration and remake scenes, and from the perspective of noise analysis. From the perspective of display medium characteristics, considering that in the process of image reproduction, the characteristi...

AI Technical Summary

Problems solved by technology

[0002] With the continuous improvement of image display technology, people can obtain high-quality reproduced images

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