Method for obtaining evidence of abnormal hue rate of fuzzy operation in image forge

An image-centered and abnormal technology, applied in image analysis, image data processing, instruments, etc., can solve problems such as digital image inefficiency

Inactive Publication Date: 2006-11-15
DALIAN UNIV OF TECH
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This is inefficient for digit

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for obtaining evidence of abnormal hue rate of fuzzy operation in image forge
  • Method for obtaining evidence of abnormal hue rate of fuzzy operation in image forge
  • Method for obtaining evidence of abnormal hue rate of fuzzy operation in image forge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0077] The specific implementation manner of the present invention will be described in detail below in combination with the technical scheme and accompanying drawings.

[0078] The images used in the experiment are 117 JPEG images taken by Kodak DC290 and 119 Nikon E5700 digital cameras converted into 24-bit true-color BMP images. In the experiment, Adobe Photoshop 8.0 was used to blur the 47 randomly selected images from the Kodak DC290 camera. The main blur diameters range from 30 to 100. Figure 6 is One of the blurred image samples. The experiment also synthesized 20 fake images using Adobe Photoshop 8.0, Figure 7 and Figure 8 is Two forged image samples, of which the stone lion and the man in white are the forged parts.

[0079]For the detection of forged images, it is first necessary to analyze and model the natural properties of images captured by digital cameras. There are many ways to describe the natural attributes and statistical characteristics of images, an...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention belongs to the field of signal and information processing technology, and relates to an abnormal tone rate evidence-obtaining method of fuzzy operation in falsification if image. It is characterized by that it provides a digital image evidence-obtaining method based on abnormal tone rate. Said method is directed against fuzzy operation most commonly used in digital image falsification and distortion, and can utilize the digital image local color attribute abnormality due to fuzzy operation, and utilize definition of abnormal tone collection and abnormal tone rate and quantifies the local consistency of image tone and correlation extent so as to further detect the digital image undergone the processes of falsification and fuzzy operation.

Description

[0001] Technical Field The present invention belongs to the technical field of signal and information processing, and relates to a forensics method for abnormal tone rate of fuzzy operation in image forgery. Background technique [0002] At present, the existing forensics methods for counterfeiting and tampering digital images mainly include digital image forensics algorithms for simple image mosaic proposed by Hany Farid and Tian-Tsong[1][2] and Jessica Fridrich[4] respectively. However, the most common operation for forging and tampering images is the synthesis and retouching of image parts. Therefore, in addition to the detection of image synthesis, the detection of blurring and retouching operations of forged images is the focus of digital image forensics research. There are some problems in the current digital image forensics algorithms, which prevent them from being well applied. For example, most existing algorithms cannot detect digital images that have been processed...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00
Inventor 孔祥维王波
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products