Images are important source of information used as evidence during any investigation process. Their clarity and accuracy is essential and of the utmost importance for any investigation. Images are vulnerable to losing blocks and having noise added to them either after alteration or when the image was taken initially, therefore, having a high performance image processing system and it is implementation is very important in a forensic point of view. This paper focuses on improving the quality of the forensic images. For different reasons packets that store data can be affected, harmed or even lost because of noise. For example, sending the image through a wireless channel can cause loss of bits. These types of errors might give difficulties generally for the visual display quality of the forensic images. Two of the images problems: noise and losing blocks are covered. However, information which gets transmitted through any way of communication may suffer alteration from its original state or even lose important data due to the channel noise. Therefore, a developed system is introduced to improve the quality and clarity of the forensic images.
|Journal||International Journal of Computer, Electrical, Automation, Control and Information Engineering|
|Publication status||Published - 2015|
Bibliographical noteThis paper is available at: http://waset.org/publications/10000099/filtering-and-reconstruction-system-for-gray-forensic-images
- Image Filtering
- Image Reconstruction
- Forensic Images.
Aljarf, A., & Amin, S. (2015). Filtering and Reconstruction System for Gray Forensic Images. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 9(1), 20-25.