@article{(Open Science Index):https://publications.waset.org/pdf/10000099,
	  title     = {Filtering and Reconstruction System for Gray Forensic Images},
	  author    = {Ahd Aljarf and  Saad Amin},
	  country	= {},
	  institution	= {},
	  abstract     = {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 Information and Communication Engineering},
	  volume    = {9},
	  number    = {1},
	  year      = {2015},
	  pages     = {20 - 25},
	  ee        = {https://publications.waset.org/pdf/10000099},
	  url   	= {https://publications.waset.org/vol/97},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 97, 2015},
	}