Image forensics through detection of imaging regularities
Every image has its unique pattern characteristic and regularities and one of image forensic methods is through pattern recognition. By detecting image regularities, an image can be identified if it is altered by digital manipulation or otherwise. In this project, the image regularities refer to an...
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sg-ntu-dr.10356-179732023-07-07T15:47:16Z Image forensics through detection of imaging regularities Sai, Choong Han. Kot Chichung, Alex School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Every image has its unique pattern characteristic and regularities and one of image forensic methods is through pattern recognition. By detecting image regularities, an image can be identified if it is altered by digital manipulation or otherwise. In this project, the image regularities refer to an image tampering method called artificial blurring. Two methods are proposed for detecting artificial blurring which are bispectrum analysis and noise level detection. For bispectrum analysis, it is an improvement from [1] whereby the detection of a 1-D blur model based on zero crossings is taken a step further by analyzing a 2-D blur function. This is done by transforming a 2-D problem into a 1-D problem through line segmentation with edge detection using the Sobel operator. The second method is by noise level detection where an image is divided into many smaller segments and PSNR values of these segments are calculated. It is believed that noise level pattern in an image is consistent throughout an image and if any region is tampered, it will disturb its localized noise level. These two methods are tested based on synthetic and actual images where obtained results from the two methods shows that the algorithm works fine with certain limitations. Since the development of the bispectrum analysis and noise level detection is still in its early stage, further improvements are still needed. Bachelor of Engineering 2009-06-18T04:50:13Z 2009-06-18T04:50:13Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17973 en Nanyang Technological University 84 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition Sai, Choong Han. Image forensics through detection of imaging regularities |
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Every image has its unique pattern characteristic and regularities and one of image forensic methods is through pattern recognition. By detecting image regularities, an image can be identified if it is altered by digital manipulation or otherwise. In this project, the image regularities refer to an image tampering method called artificial blurring. Two methods are proposed for detecting artificial blurring which are bispectrum analysis and noise level detection. For bispectrum analysis, it is an improvement from [1] whereby the detection of a 1-D blur model based on zero crossings is taken a step further by analyzing a 2-D blur function. This is done by transforming a 2-D problem into a 1-D problem through line segmentation with edge detection using the Sobel operator. The second method is by noise level detection where an image is divided into many smaller segments and PSNR values of these segments are calculated. It is believed that noise level pattern in an image is consistent throughout an image and if any region is tampered, it will disturb its localized noise level. These two methods are tested based on synthetic and actual images where obtained results from the two methods shows that the algorithm works fine with certain limitations. Since the development of the bispectrum analysis and noise level detection is still in its early stage, further improvements are still needed. |
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Kot Chichung, Alex |
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Kot Chichung, Alex Sai, Choong Han. |
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Final Year Project |
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Sai, Choong Han. |
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Sai, Choong Han. |
title |
Image forensics through detection of imaging regularities |
title_short |
Image forensics through detection of imaging regularities |
title_full |
Image forensics through detection of imaging regularities |
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Image forensics through detection of imaging regularities |
title_full_unstemmed |
Image forensics through detection of imaging regularities |
title_sort |
image forensics through detection of imaging regularities |
publishDate |
2009 |
url |
http://hdl.handle.net/10356/17973 |
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1772828177420255232 |