Neinformirano odkrivanje podvojenih regij v digitalnih slikah

Abstract

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Language:	Slovenian
Year of publishing:	2009
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[B. Čargo]
UDC:	004.93(043.2)
COBISS:	7018836
Views:	813
Downloads:	322
Average score:	0 (0 votes)
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Secondary language:	English
Secondary title:	[Blind detection of duplicate regions in digital images]
Secondary abstract:	This work refers to the research area of digital image processing. Its main purpose is to elucidate the field of automatic digital forgery detection and, within its scope, describe a particular algorithm for blind detection of duplicated image regions: the so-called Duplicate Region Detector (DRD). The algorithm is based on principal component analysis, reduction of image blocks representations, and their lexicographical comparison. Our java implementation was tested on a population with positive and negative examples. Test results enabled us to assess efficiency and efficacy, as well as robustness against specific digital image processing operations. The principal conclusion is a thesis that the algorithm can only be made more efficient by abandoning fixed parameter values that are set in advance in favour of values that are defined based on characteristics of each input image.
Secondary keywords:	computer vision;image tampering;duplicated image region;principal component analysis;reduced representation;candidate list;candidate removal;duplication map;computer science;diploma;
File type:	application/pdf
Type (COBISS):	Undergraduate thesis
Thesis comment:	Univerza v Ljubljani, Fakulteta za računalništvo in informatiko
Pages:	75 str.
ID:	23868244