Multitask Image Splicing Tampering Detection Based on Attention Mechanism
نویسندگان
چکیده
In today’s modern communication society, the authenticity of digital media has never been such importance as it is now. this aspect, reliability images paramount because can be easily manipulated by means sophisticated software, Photoshop. Splicing tampering a commonly used photographic manipulation for modifying images. Detecting splicing remains challenging task in area image forensics. A new multitask model based on attention mechanism, densely connected network, Atrous Spatial Pyramid Pooling (ASPP) and U-Net locating an image, AttDAU-Net, was proposed. The proposed AttDAU-Net basically that incorporates spatial rich filtering, ASPP module learning framework, order to capture more multi-scale information while enlarging receptive field improving detection precision tampering. experimental results datasets CASIA1 CASIA2 showed promising performance metrics (F1-scores 0.7736 0.6937, respectively), which were better than other state-of-the-art methods comparison, demonstrating feasibility effectiveness
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ژورنال
عنوان ژورنال: Mathematics
سال: 2022
ISSN: ['2227-7390']
DOI: https://doi.org/10.3390/math10203852