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Published bySimon Randall Modified over 9 years ago
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Project Topic : Image Differentiation Name : Bo Li Supervisor: Dr. Jimmy Li
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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
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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.
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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
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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
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Time arrangement Gantt chart for project time schedule
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Software involved in this project Main software used Visualize the ideas in my project
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Conclusion Image differentiation Help detect fake images when human inspection fails Very fun and worth doing project Logically following 5 different tempering image types
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