Digital images are inherently fragile and vulnerable to malicious tampering, significantly compromising their authenticity and integrity. Image recovery is crucial for restoring …
Digital images are inherently fragile and vulnerable to malicious tampering, significantly compromising their authenticity and integrity. Image recovery is crucial for restoring …
Artificial Intelligence (AI) models are valuable and frequently face malicious tampering attacks, which require significant data and time to retrain when compromised. To address …
Artificial Intelligence (AI) models are valuable and frequently face malicious tampering attacks, which require significant data and time to retrain when compromised. To address …
In the era of Industry 4.0, the widespread application of digitization, automation, and Internet technology in industrial production has led to a significant increase in image …
In the era of Industry 4.0, the widespread application of digitization, automation, and Internet technology in industrial production has led to a significant increase in image …
Robust audio watermarking plays a crucial role in copyright protection; however, existing techniques suffer from low embedding capacity and limited robustness under severe signal …
As a fundamental task in computer vision, edge detection is becoming increasingly vital in many fields. Recently, large-parameter pre-training models have been used in edge …
This article proposes a new digital watermarking mechanism based on the Ethereum blockchain, Smart Contract, and Interplanetary File System (IPFS), with an enhanced Fast Walsh …
In this paper, we construct CAMU-Net, an image forgery detection method, to obtain evidence of copy-move forgery areas in images. In CAMU-Net, the hierarchical feature extraction …
Panoptic segmentation requires the prediction of a pixel-level mask with a category label in an image. In recent years, panoptic segmentation has been gaining more attention since …
This paper proposes a novel end-to-end network for Image Manipulation Localization (IML) comprising three modules: feature fusion, encoder, and decoder. To address the limitations …
This paper proposes a scheme for localization and restoration of image tampered regions using block labelling and adaptive significance. To generate the watermark information which …
This paper introduces a feature extraction-based approach to ensure both robustness and reversibility of image. Low-order Zernike moments are utilized to embed a robust binary …
Emotion plays a dominant role in speech. The same utterance with different emotions can lead to a completely different meaning. The ability to perform various of emotion during …
This paper proposes an approach to protect image content against malicious tampering based on watermarking technology. The watermark is composed of two kinds of check bits which …
This article proposes an adaptive scheme for image tampered region localization and content recovery. To generate the watermark information comprised of the authentication data and …
This article proposes an adaptive scheme for image tampered region localization and content recovery. To generate the watermark information comprised of the authentication data and …
This paper proposes a novel Gauss–Jordan elimination-based image tampering detection and self-recovery scheme, aiming at dealing with the problem of malicious tampering on digital …
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