Abstract

Visible watermarking techniques are considered as ideal technique to provide direct copyright protection for images and video. One important requirement of visible watermarking is robustness against removal attacks. However, inpainting methods can be used efficiently to remove visible watermarks. Inpainting techniques need the watermark to perform the removal attack, this watermark can be obtained browsing on the web or applying collusion attacks over many protected images. In this paper we propose a visible watermarking method robust to inpainting attacks. To protect the entire image and increase the robustness against removal attacks, different versions of the watermark pattern generated by seam carving method are embedded into the host image. The proposed system avoids the removal of the watermark by inpainting. The experimental results show that the visible watermark is still recognizable after the visible watermarked image is attacked by inpainting method.

Keywords:
Watermark Inpainting Digital watermarking Robustness (evolution) Computer vision Artificial intelligence Computer science Image (mathematics)

Metrics

5
Cited By
0.43
FWCI (Field Weighted Citation Impact)
49
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Media Forensic Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Generative Adversarial Networks and Image Synthesis
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Seam Carving based visible watermarking robust to removal attacks

Eduardo Fragoso‐NavarroKevin Rangel-EspinozaMariko Nakano-MiyatakeManuel Cedillo-HernándezHéctor Pérez-Meana

Journal:   Journal of King Saud University - Computer and Information Sciences Year: 2021 Vol: 34 (7)Pages: 4499-4513
JOURNAL ARTICLE

Video Inpainting Using Seam Carving Method

Matheel E. AbdulmunimRana M. Zaki

Journal:   Diyala Journal for Pure Science Year: 2017 Vol: 13 Pages: 95-114
JOURNAL ARTICLE

Inpainting large missing regions based on Seam Carving

Ahmed K. Al-JaberiSabah JassimNaseer Al‐Jawad

Journal:   EAI Endorsed Transactions on Industrial Networks and Intelligent Systems Year: 2018 Vol: 5 (16)Pages: e4-e4
JOURNAL ARTICLE

Object Removal using A New Exemplar-Based Image Inpainting Algorithm and Seam Carving

Rammah YousefAyush AgarwalPranaw KumarNabhan Yousef

Journal:   International Journal of Recent Technology and Engineering (IJRTE) Year: 2019 Vol: 8 (4)Pages: 9186-9191
© 2026 ScienceGate Book Chapters — All rights reserved.