Computer Forensics and Image Deblurring: An Inclusive Investigation

Автор: Zohair Al-Ameen, Ghazali Bin Sulong, Md. Gapar Md. Johar

Журнал: International Journal of Modern Education and Computer Science (IJMECS) @ijmecs

Статья в выпуске: 11 vol.5, 2013 года.

Бесплатный доступ

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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Computer forensics, Image deblurring, Motion blur, Out-of-focus blur, Image degradations, Deblurring software

Короткий адрес: https://sciup.org/15014603

IDR: 15014603

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