TL;DR
This work introduces a novel architecture by employing RGB and ELA of an image as a parallel stream of input for the two encoders (a lightweight neural network), primarily designed for localizing image manipulations that introduce compression inconsistencies, particularly image splicing and retouching.
Colorizing monochromatic images is crucial for enhancing the informativeness of visual data in modern information technology and computer vision systems. However, automatic colorization poses an inherently ill-posed mathematical challenge due to the multimodal nature of color distributions, where multiple valid color m...
With the growing use of digital images in online communication and social media, verifying whether an image is authentic has become increasingly important. Image manipulation techniques such as copy-move, splicing, inpainting, and object removal can change the meaning of visual information. At the same time, JPEG compr...
Modern generative models, such as GANs, diffusion architectures, and autoregressive systems, now produce facial images that are nearly indistinguishable from authentic photographs. This capability makes detecting forged images increasingly difficult, raising serious concerns about identity theft, fraud, and misinformat...
The results obtained show how well the model detects synthetic images with high recall and precision, underscoring its potential for practical uses in content authentication, digital forensics, and AI-generated image recognition.
This work proposes a new GAN-based face hallucination method primarily based on the Enhanced Super-Resolution Generative Adversarial Network (ESRGAN), and presents a personalised adaptation of ESRGAN that employs the VGG16 architecture with a compact pre-trained version.
Image manipulation localization (IML), the task of accurately identifying the manipulated regions within an image, remains a significant challenge. Conventional deep learning methods often struggle with generalization and adapting to new manipulation schemes. To address these limitations, a novel two-stage IML system i...
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