Project Topic : Image Differentiation

Name : Bo Li

Supervisor: Dr. Jimmy Li

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

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.

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

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

Time arrangement

Gantt chart for project time schedule

Software involved in this project

Main software used

Visualize the ideas in my project

Conclusion

Image differentiation

Help detect fake images when human inspection fails

Very fun and worth doing project

Logically following 5 different tempering image types