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Computer Forensics and Image Deblurring: An Inclusive Investigation
Author(s) -
Zohair AlAmeen,
Ghazali Sulong,
Md Gapar Md Johar
Publication year - 2013
Publication title -
international journal of modern education and computer science
Language(s) - English
Resource type - Journals
eISSN - 2075-017X
pISSN - 2075-0161
DOI - 10.5815/ijmecs.2013.11.06
Subject(s) - deblurring , motion blur , computer science , computer vision , focus (optics) , artificial intelligence , latent image , image restoration , noise (video) , artifact (error) , process (computing) , lens (geology) , autofocus , image (mathematics) , image processing , optics , physics , operating system
Observed images with bare eyes are always different than the acquired ones using an imaging system since the captured images are considered as the degraded versions of the original scene. These degradations may vary between image noise, lighting defects and blur. Therefore, this article addresses the field of computer forensics with image deblurring as the latent details that are indeed present in the captured images are concealed due to the blurring artifact. Moreover, the constant types of blur that are being dealt with in forensics are the motion and the out-of-focus blur. The motion blur occurs due to the motion of the recorded objects or the camera during the capturing process. The out-of-focus blur occurs due to lens defocusing errors. Different examples are provided to focus on the importance of deblurring forensic images. In addition, concise commentaries on deblurring methods, applications and blur types are deliberated for additional knowledge.

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