DocumentCode :
2818957
Title :
Identifying Image Authenticity by Detecting Inconsistency in Light Source Direction
Author :
Lv, Yingda ; Shen, Xuanjing ; Chen, Haipeng
Author_Institution :
Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Inconsistency in light source direction resulted from image forgery is one of the traces which cannot be removed. Hereby, a blind identification to distinguish the image authenticity by detecting inconsistency in light source direction was proposed. The search means and least-squares method were used to calculate the light source direction for local and infinite light source images respectively, in accordance with the error function between the actual intensity and calculated intensity, as well as the constraint function suitable for different light source models. And, by analyzing if the light source directions between different objects and background in one image are consistent to determine whether the image had been altered. Experimental results showed that the correct detection rates of blind identification for local and infinite light source images were 87.31% and 85.47% respectively.
Keywords :
blind source separation; image processing; least squares approximations; light sources; blind identification; image authenticity identification; image forgery; inconsistency detection; least-squares method; light source direction; search means; Brightness; Computer science; Educational institutions; Forgery; Image generation; Light sources; Reflectivity; Rough surfaces; Space technology; Surface roughness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5363457
Filename :
5363457
Link To Document :
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