Results 151 to 160 of about 13,991,852 (286)

How Can Community Music Enhance Place‐Based Efforts to Create Greater Social Equity? Insights From an Australian Cultural Mapping Exercise

Australian Journal of Social Issues, EarlyView.
ABSTRACT Social inequity is increasing in Australia, often manifesting in entrenched locational disadvantage that requires place‐based responses grounded in local strengths, knowledge and participation. While community music programmes have demonstrated a range of positive social outcomes, their potential contribution to place‐based efforts addressing ...
Brydie‐Leigh Bartleet, Emma Heard, Matt Hsu, Mathew Klotz, Chi Lui Flora Wong, Joel Alexander Spence, Pearly Black   +6 more
wiley   +1 more source

MSCSCC-Net: multi-scale contextual spatial-channel correlation network for forgery detection and localization of JPEG-compressed image

Scientific Reports
JPEG artifacts produced during the JPEG compression may obscure forgery artifacts, impairing the efficiency of regular forgery detection and localization approaches.
Wuyang Shan, Jingchuan Yue, Steven X. Ding, Junying Qiu   +3 more
doaj   +1 more source

Video forgery detection

, 2016
Digital image and videos cannot be taken as authentic evidences, since their integrity is no longer trustworthy. Because of the uniqueness and peculiarities of video signals with respect to images, there are wider ranges of possible alterations that ...
Mathai, Mareeta
core  

Medical Image Forgery Detection

, 2022
Currently, the majority of businesses and organizations rely on internet services because of the improvements in technology and how simple they are to acquire and use. In the medical sector, digital photographs have also gained more significance than before.
openaire   +1 more source

Image Forgery Analyse and Detection

International Journal of Computer Science and Engineering, 2021
Alhussain Akoum, Samia Bahlak, Nagham Abou Daher   +2 more
openaire   +1 more source

Image Forgery Detection Using ResNet50, U-Net, and Explainable AI

In this project, I present an explainable deep learning framework for image forgery detection and localization. The system integrates three key components: image-level classification using a ResNet50 model, pixel-level forgery localization using a U-Net ...
Musfikur Rahaman
core   +1 more source

Unified frequency and graph learning framework for accurate and robust copy-move image forgery detection. [PDF]

J Forensic Sci
Kizhakke Veetil S, Selvarajan D.
europepmc   +1 more source

A hybrid model for image forgery detection using deep learning with block and keypoint methods. [PDF]

Sci Rep
Mehrjardi FZ, Zarchi MS.
europepmc   +1 more source

IoT-Oriented Security for Small Sensor Systems Using DnCNN Denoising and Multimodal Feature Fusion for Image Forgery Detection. [PDF]

Sensors (Basel)
Nasir N, Waseem SS, Bilal M, Hassan SR.
europepmc   +1 more source

Comparison between image forgery detection algorithms

, 2017
Today, the manipulation on the digital images has become a very easy and professional process using the capabilities of photo editing tools with the wide and rapid development in information technology and computer industry.
Maghari, Ashraf Y. A., Nazli, Mohammed N
core