Hash-based image watermarking technique for tamper detection and localization

Hussan, Muzamil; Parah, Shabir A.; Jan, Aiman; Qureshi, G. J.

doi:10.1007/s12553-021-00632-9

Cited by 14 publications

(6 citation statements)

References 52 publications

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“…Tamper detection and localization is one of the most important processes in fragile image watermarking. The procedure for the tamper detection process is to identify and locate areas of the image that are suspected of having been tampered with or manipulated [1,2,18]. This is done by using an extracted watermark compared to the original.…”

Section: Tamper Detection and Localizationmentioning

confidence: 99%

“…The rapid development of technology in information and communication technology has a positive impact on people's lives, namely sending text messages and even multimedia such as digital images [1]. Currently, there are many valuable applications for manipulating digital images, where this manipulation cannot be detected by the human visual system (HVS) [2].…”

Section: Introductionmentioning

confidence: 99%

“…The most widely used instruments to measure imperceptibility quality are PSNR and SSIM [13]. Fragile image watermarking can be designed in the spatial domain as in research [11,[14][15][16] or transformation domain [1,17,18] or these combination [2,19,20]. Determination of methods and domains can influence the results and advantages of the method in certain aspects.…”

Section: Introductionmentioning

confidence: 99%

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Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

2022

IJIES

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Tamper detection and localization are essential things in fragile image watermarking to carry out the authentication process. The tampering method continues to evolve from general and complex tampering. This study proposes a tamper detection and localization technique that can withstand a variety of standard and complex attacks with a combination of bidiagonal singular value decomposition, blockwise and group block for authentication. The least significant bit method is used in the embedding process to increase imperceptibility. By combining these methods, fragile image watermarking is produced that is robust against various common tampers such as type I and type II copypaste, rotate, text addition, and noise addition, as well as various complex attacks such as vector quantization, collage, content only and constant feature. The tamper detection rate is more than 0.99, and the average PSNR value is 51.85 dB. This shows that the proposed method is robust against various tampers and has excellent imperceptibility.

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Section: Tamper Detection and Localizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

2022

IJIES

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“…Therefore, authentication of images has become an important issue. Fragile watermarking [1][2][3][4][5] is a common technique used in image authentication by embedding watermark data into images. If pixels were tampered with, the embedded data could be retrieved to authenticate the image.…”

Section: Introductionmentioning

confidence: 99%

“…Step 3: If b i − a i ≥ T, employ K to generate i , and construct the R i 64 by Equation (4). Besides, B i and i are employed to regenerate ac i by Equation (5). Then, use APPM to extract eac i embedded in ( a i , b i ).…”

mentioning

confidence: 99%

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

et al. 2023

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In this paper, we proposed an efficient authentication method with dual embedment strategies for absolute moment block truncation coding (AMBTC) compressed images. Prior authentication works did not take the smoothness of blocks into account and only used single embedding strategies for embedment, thereby limiting image quality. In the proposed method, blocks were classified as either smooth or complex ones, and dual embedding strategies used for embedment. Respectively, bitmaps and quantized values were embedded with authentication codes, while recognizing that embedment in bitmaps of complex blocks resulted in higher distortion than in smooth blocks. Therefore, authentication codes were embedded into bitmaps of smooth blocks and quantized values of complex blocks. In addition, our method exploited to-be-protected contents to generate authentication codes, thereby providing satisfactory detection results. Experimental results showed that some special tampering, undetected by prior works, were detected by the proposed method and the averaged image quality was significantly improved by at least 1.39 dB.

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Image Integrity Checking Using Watermarking in Cloud Computing: A Review

Rani,

Nath

2024

Lecture Notes in Networks and Systems

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Hash-based image watermarking technique for tamper detection and localization

Cited by 14 publications

References 52 publications

Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

An Authentication Method for AMBTC Compressed Images Using Dual Embedding Strategies

Image Integrity Checking Using Watermarking in Cloud Computing: A Review

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