Digital image forensices
The unique stature of photographs as a definitive recording of events is being diminished due, in part, to the ease with which digital images can be manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying s...
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2009
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sg-ntu-dr.10356-178212023-07-07T16:44:29Z Digital image forensices Jin, Jing Tan Yap Peng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing The unique stature of photographs as a definitive recording of events is being diminished due, in part, to the ease with which digital images can be manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. In this project, the author tried to justify whether the given image sets were up sampled or down sampled at certain resampling rate by two approaches and therefore determine which image was closer to the original one. One was to detect the periodic pattern in the probability map across images using Expectation/Maximization algorithm. The other was to resample the smaller one to the same size of the larger image and then analyze the difference by Gabor filter and produce the classification by Fisher Linear Discriminant Analysis. Bachelor of Engineering 2009-06-15T03:31:59Z 2009-06-15T03:31:59Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17821 en Nanyang Technological University 72 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Jin, Jing Digital image forensices |
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The unique stature of photographs as a definitive recording of events is being diminished due, in part, to the ease with which digital images can be manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image.
In this project, the author tried to justify whether the given image sets were up sampled or down sampled at certain resampling rate by two approaches and therefore determine which image was closer to the original one. One was to detect the periodic pattern in the probability map across images using Expectation/Maximization algorithm. The other was to resample the smaller one to the same size of the larger image and then analyze the difference by Gabor filter and produce the classification by Fisher Linear Discriminant Analysis. |
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Tan Yap Peng |
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Tan Yap Peng Jin, Jing |
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Final Year Project |
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Jin, Jing |
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Jin, Jing |
title |
Digital image forensices |
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Digital image forensices |
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Digital image forensices |
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Digital image forensices |
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Digital image forensices |
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digital image forensices |
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2009 |
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http://hdl.handle.net/10356/17821 |
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1772825113936265216 |