Image tampering detection based on level or type of blurriness

• Main Author: Bahrami, Khosro
• Other Authors: Kot Chichung, Alex
• Format: Theses and Dissertations
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: https://hdl.handle.net/10356/65377
• Institution: Nanyang Technological University

With the development of sophisticated photo-editing tools, image manipulation and forgery can be done easily and detection of tampered images by human eyes is difficult. Since images can be used in journalism, medical diagnosis, police investigation and as court evidences; image tampering can be a t...