Results 241 to 250 of about 13,991,852 (286)

Connoisseurship and Technical Analysis Re-evaluating the Laughing Cavalier Forgery 100 Years After the Court Case

open access: yes
Tummers A   +12 more
europepmc   +1 more source

State of the art in passive digital image forgery detection: copy-move image forgery

open access: yesPattern Analysis and Applications, 2017
Authenticating digital images is increasingly becoming important because digital images carry important information and due to their use in different areas such as courts of law as essential pieces of evidence. Nowadays, authenticating digital images is difficult because manipulating them has become easy as a result of powerful image processing ...
Somayeh Sadeghi   +4 more
core   +4 more sources

IMAGE FORGERY DETECTION

International Journal of Engineering Applied Sciences and Technology, 2023
In the digital age, the ability to manipulate digital images has become increasingly sophisticated, making it challenging to detect and distinguish between authentic and forged images. Image forgery detection is an active and crucial area of research, with various methods and techniques being proposed to detect manipulated images. This paper provides a
Shivam Pandey   +3 more
  +4 more sources

Image splicing forgery detection: A review

Multimedia Tools and Applications
Dr. Hitendra Garg, Ritesh Kumari
exaly   +3 more sources

Image forgery detection using image similarity

Multimedia Tools and Applications, 2020
Ideally, sophisticated image forgery methods leave no perceptible evidence of tampering. In response to such stringent context, researchers have proposed digital methods to detect such indiscernible tampering. In this paper, we present a blind image forgery detection method that uses a steerable pyramid decomposition technique and copulas ensemble ...
Saif alZahir, Radwa Hammad
openaire   +2 more sources

Digital Image Forgery and Techniques of Forgery Detection

2023
Image forgery means manipulation of digital image to conceal meaningful information of the image. The detection of forged image is driven by the need of authenticity and to maintain integrity of the image. A copy–move forgery detection theme victimization adaptive over segmentation and have purpose feature matching is proposed.
Nousheen, Ishrath   +2 more
openaire   +1 more source

Image forgery detection

IEEE Signal Processing Magazine, 2009
We are undoubtedly living in an age where we are exposed to a remarkable array of visual imagery. While we may have historically had confidence in the integrity of this imagery, today's digital technology has begun to erode this trust. From the tabloid magazines to the fashion industry and in mainstream media outlets, scientific journals, political ...
openaire   +2 more sources

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