مشروع البحث: Digital camera identification using sensor pattern noise for forensics applications
| dc.contributor.advisor | Dr. Fouad Khelifi | |
| dc.date.accessioned | 2026-08-02T08:38:40Z | |
| dc.date.available | 2026-08-02T08:38:40Z | |
| dc.description | Moreover, an improved version of the locally adaptive discrete cosine transform (LADCT) filter is proposed in the filtering stage to reduce the effect of scene details on noise residues. Finally, the post-estimation stage consists of combining the PRNU estimated from each colour plane aims to reduce the effect of colour interpolation and increasing the amount of physical PRNU components. The aforementioned techniques have been assessed on two image datasets acquired by several camera devices. Experimental results have shown a significant improvement obtained with the proposed enhancements over related state-of-the-art systems. Nevertheless, in this thesis the experiments are not including images taken with various acquisition different resolutions to evaluate the effect of these settings on PRNU performance. | |
| dc.description.abstract | Nowadays, millions of pictures are shared through the internet without applying any authentication system. This may cause serious problems, particularly in situations where the digital image is an important component of the decision making process for example, child pornography and movie piracy. Motivated by this, the present research investigates the performance of estimating Photo Response Non-Uniformity (PRNU) and developing new estimation approaches to improve the performance of digital source camera identification. The PRNU noise is a sensor pattern noise characterizing the imaging device. Nonetheless, the PRNU estimation procedure is faced with the presence of image-dependent information as well as other non-unique noise components. This thesis primarily focuses on efficiently estimating the physical PRNU components during different stages. First, an image sharpening technique is proposed as a pre-processing approach for source camera identification. | |
| dc.identifier | 1352 | |
| dc.identifier.uri | https://dspace.academy.edu.ly/handle/123456789/2465 | |
| dc.subject | Digital camera identification using sensor pattern noise | |
| dc.title | Digital camera identification using sensor pattern noise for forensics applications | |
| dspace.entity.type | Project | |
| project.endDate | 2017 | |
| project.funder.name | نظم المعلومات | |
| project.investigator | أشرف عبد الحفيظ محمد الاوجلي | |
| project.startDate | 2016 |