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Mosaic image detection method and system based on local two-dimensional characteristics

A technology of two-dimensional features and splicing images, which is applied in image analysis, image data processing, computer components, etc., can solve problems that cannot be solved, and images do not have any prior knowledge, and achieve high detection accuracy

Inactive Publication Date: 2013-09-18
上海数据分析与处理技术研究所 +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This technology mechanically divides the image into 6 areas. Although it can be used to solve the problem of relatively fixed positions of the face and important facial organs, it cannot solve the problem of passive image forgery identification without any prior knowledge of the image.

Method used

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  • Mosaic image detection method and system based on local two-dimensional characteristics
  • Mosaic image detection method and system based on local two-dimensional characteristics
  • Mosaic image detection method and system based on local two-dimensional characteristics

Examples

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Embodiment 1

[0044] Such as figure 1 As shown, this embodiment includes the following steps:

[0045] The first step is to perform block DCT transformation on the original image in three modes, and figure 1 Taking the absolute value in (3), three block DCT coefficient absolute value matrices are obtained, among which: block DCT can use a variety of block methods of different sizes, and different block sizes can capture different pixel transformation features. At the same time, the number of block patterns determines the dimension of the final statistical features. Therefore, the mode selection of the block DCT needs to take into account both the detection accuracy and the detection complexity.

[0046] exist figure 1 given in figure 1 The three block modes in (2), 4x4, 8x8 and 16x16, have been proved by experiments that both ensure the detection accuracy and have a smaller feature dimension.

[0047] Table 1 for LBP 8,1 The detection accuracy in different block DCT modes, the accurac...

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Abstract

The invention belongs to the technical field of image processing and information security and relates to a mosaic image detection method and system based on local two-dimensional characteristics. The mosaic image detection method includes that images are cut through squares with different side lengths and then are subjected to blocking Discrete Cosine Transformation (DCT), and the obtained blocked DCT coefficients are described in a local two-dimensional characteristic mode, are merged to be an integral detection characteristic and then are classified by a classifier. The mosaic image detection method and system can consider both the detection accuracy and the detection complexity, and the detection accuracy can reach 89.9%.

Description

technical field [0001] The present invention relates to a method and system in the technical field of image processing and information security, in particular to a spliced ​​image detection method and system based on local two-dimensional features for spliced ​​images without prior knowledge. Background technique [0002] Digital image technology has become very popular in today's society, and the threshold for using it is also decreasing day by day. Many powerful digital image processing software are also accessible to the public, and ordinary people without professional training can also create fake images that cannot be directly identified by the naked eye. When forged images appear in hot posts such as forums and microblogs, they can have a great negative impact on the government, enterprises or individuals. Therefore, the use of computer technology to detect forged images has become a research hotspot in the field of information content security. [0003] Generally spe...

Claims

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Application Information

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IPC IPC(8): G06K9/66G06T7/00
Inventor 李翔李建华裘瑛黄豫蕾王佳凯陈继国王士林林祥陈璐艺冯皪魏
Owner 上海数据分析与处理技术研究所
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