Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.
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Transcript of Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.
![Page 1: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/1.jpg)
Project Topic : Image Differentiation
Name : Bo Li
Supervisor: Dr. Jimmy Li
![Page 2: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/2.jpg)
Why this project is worth doing?
Digital forgeries are hard to distinguish from authentic ones
Easy to be created
May have important impact on society
Example: a photo taken during 2013 Iraq war
![Page 3: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/3.jpg)
![Page 4: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/4.jpg)
What others have done in this area?
Many ways can be used, such as
Examine the use of lens footprints left on the images
Using Camera Response Normality and Consistency
Etc.
![Page 5: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/5.jpg)
The approach I intend to take
Detect digital image forgeries using CFA demosaicking method
“Colour Filter Array"
Photosensors have no wavelength specicity
So filter RGB onto array of photosensors
e.g. Bayer filter
![Page 6: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/6.jpg)
Potential Methods
Identifying the statistical changes
Designing techniques for estimating these changes
According to different types of tampering
Re-sampled Images
Manipulated Color Filter Array (CFA) Interpolated Images.
Double JPEG Compression
Duplicated Image Regions
Inconsistent Noise Patterns
![Page 7: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/7.jpg)
Time arrangement
Gantt chart for project time schedule
![Page 8: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/8.jpg)
Software involved in this project
Main software used
Visualize the ideas in my project
![Page 9: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/9.jpg)
Conclusion
Image differentiation
Help detect fake images when human inspection fails
Very fun and worth doing project
Logically following 5 different tempering image types
![Page 10: Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li.](https://reader035.fdocuments.net/reader035/viewer/2022070414/5697c01a1a28abf838ccf2ae/html5/thumbnails/10.jpg)