Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image forensics method for natural image and compressed and tampered image based on DWT

A natural image and image technology, applied in the field of image forensics, can solve problems such as the failure of forensics algorithms

Inactive Publication Date: 2014-07-02
BEIHANG UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] When conducting forensics on image compression, the method of forensics for the unique characteristics of a specific compression algorithm can easily be used by other researchers to cover up the characteristics in a certain way, thus making the forensic algorithm invalid

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
  • Image forensics method for natural image and compressed and tampered image based on DWT
  • Image forensics method for natural image and compressed and tampered image based on DWT
  • Image forensics method for natural image and compressed and tampered image based on DWT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.

[0052] Before performing the experimental operation of the present invention, it is necessary to generate and process the images used in the experiment. The natural image used in this experiment is UCID-v2 (G.Schaefer and M.Stich, "UCID-An uncompressed color image database," in Proc.SPIE: Storage and Retrieval Methods and Applications for Multimedia, 2004, vol.5307, pp.472–480), for the 1338 images, it is necessary to obtain 16 types of compressed images with a compression rate from 0.5 to 8 and an interval of 0.5, as well as anti-forensic images of specific methods. The first is the acquisition process of compressed images based on SPIHT and JPEG2000, the acquisition process is as follows:

[0053] Step 1: Organize the SPIHT image compression algorithm code, and at the same time, the JPEG2000 compression algorithm uses the existing algorithm ...

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 invention provides an image forensics method for a natural image and a compressed and tampered image based on DWT. According to the method, the natural image and the compressed image based on the DWT can be effectively distinguished, meanwhile, good distinguishability is achieved on certain specific image tampering carrying out compression trace elimination on the compressed image, the joint probability histogram of a wavelet transform coefficient of the natural image and the tampered image is calculated through the method, the histogram is normalized, then Hough transform is carried out, the mean value, variance value, skewness value and kurtosis value of a Hough transform coefficient matrix are extracted as characteristic values of a support vector machine, and a training set is formed by the characteristic values. A classification model is generated by the support vector machine through the training set in a training mode, unknown characteristic value samples are classified through the model, and whether compression or anti-compression forensics processing is carried out on an image or not is judged. The method is stable in performance, easy and convenient to implement, efficient, high in accuracy and suitable for forensics detection of the natural image and the tampered image in other aspects.

Description

technical field [0001] The invention relates to the technical field of image forensics, in particular to an image forensics method for natural images and DWT-based compression tampered images. Background technique [0002] With the rapid development of modern multimedia technology and network technology, it is more convenient to transmit and share multimedia. People can quickly obtain corresponding multimedia (such as pictures, videos, audio, etc.) through the network and multimedia technology. There is no doubt , we live in a world of visual imagery, seeing is believing is our traditional concept cognition. However, while digital technology at this stage brings us great convenience, it is also accompanied by tampering of multimedia, the most important of which is the tampering of images. The falsity of image content is likely to bring certain harm to people's lives, such as the South China Tiger incident, which has had a huge impact on the entire society. [0003] Traditi...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
Inventor 王美娟张立鑫范围吴柯陈真勇熊璋
Owner BEIHANG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com