JOURNAL ARTICLE

An imperceptible spatial domain color image watermarking scheme

Jobin AbrahamVarghese Paul

Year: 2016 Journal:   Journal of King Saud University - Computer and Information Sciences Vol: 31 (1)Pages: 125-133   Publisher: Elsevier BV

Abstract

The paper proposes a novel scheme for color image watermarking. Spatial domain techniques are used here for embedding the watermark information to generate high quality watermarked image. Spatial domain methods are popular with fragile watermarking techniques that mostly use two or three least significant image bits for storing the recovery information. Here spatial domain methods are further explored to develop a robust mechanism for copyright protection. The method presented gradually spreads the watermark information over a region of pixels as implemented by the transform domain techniques. Thus the method is designed to deliver the two essential features required of watermarking systems namely, high image quality and high robustness to attacks. Also after watermark embedding it is ensured that the alterations in one color component are well compensated and no color difference or variations is visually evident. For watermark embedding and color compensation two masks are proposed. The algorithm is experimentally analyzed using various quality metrics and watermark removal attacks. The results prove the model support imperceptible watermarking and high resilience to attacks. Keywords: Color image watermarking, Spatial domain, Watermark, Embedding, Extraction, Attacks

Keywords:
Digital watermarking Watermark Robustness (evolution) Computer vision Artificial intelligence Computer science Embedding Color image Pixel Image (mathematics) Image quality Image processing

Metrics

183
Cited By
3.68
FWCI (Field Weighted Citation Impact)
21
Refs
0.96
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
Chaos-based Image/Signal Encryption
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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