Abstract / Excerpt:

Nowadays altering of images is rampant with the advent of technology that sometimes leads to malicious use. With this threat to copyright work, and the pressing need to determine a digital image's authenticity, splicing detection has been the subject of numerous studies and research in the field of digital image processing.
Splicing is the act of copying a portion of an image then pasting it into another image to form meaning or a new image. This process may be done seamlessly that the spliced image or portion vrill less likely be seen by the human eye. There will be two kinds of splicing and it is High-level splicing and Low-level splicing. High-level splicing requires post-process smoothing which is blurring. It is evident that blurring will help smoothen out image and that it can hide unwanted discontinuity in the image. While low-level splicing is pasting spliced image that it visible to the human eye. With the advent of technology all of this process is possible only that detection of this kind of images is quite impossible as no utility was made to detect such images. It is quite difficult to detect such images because not all images have the same characteristics in terms of color and background also that it is hard to come up with a dynamic approach or a dynamic algorithm that will work on all images. A utility is made to somehow detect spliced images.

Info

Source Institution	Ateneo de Davao University
Unit	Computer Science
Authors	James Angub, Alexis Banaag, John Russel Tingzon
Page Count	8
Place of Publication	Davao City
Original Publication Date	March 1, 2010
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