Semi-fragile spatial watermarking based on local binary pattern operators

Zhang, Wenyin; Shih, Frank Y.

doi:10.1016/j.optcom.2011.04.004

Cited by 65 publications

(49 citation statements)

References 17 publications

(24 reference statements)

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“…Zhang and Shih proposed a semi-fragile watermarking scheme based on the LBP operators [3]. Their scheme utilizes the characteristic of the LBP operator on localized spatial relations of an image to adjust the local pixel contrast for the embedding and extraction of watermarks.…”

Section: Semi-fragile Watermarking Schemementioning

confidence: 99%

A Review on Advanced LBP Watermarking Scheme for Image Tamper Detection and Recovery

2017

IJMTER

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Abstract-Now a days, digital images are in use in a wide range of applications and for multiple purposes. They also play an important role in the storage and transfer of visual information, especially the secret ones. With this widespread usage of digital images, in addition to the increasing number of tools and software of digital images editing, it has become easy to manipulate and change the actual information of the image. Therefore, it has become necessary to check the authenticity and the integrity of the image by using modern and digital techniques, which contribute to analysis and understanding of the images content, and then make sure of their integrity. Digital image fragile watermarking is an information hiding technique which adds the watermark into the host image for authentication .while achieving the high integrity one should not compromise with quality distortion of images. numbers of watermarking schemes exist today for balancing between the tamper detection rate and quality of reconstructed images in propose scheme we aim at maintain high tamper detection rate as well as high Peak to Signal Noise Ratio (PSNR) of reconstructed images for their quality. For that we utilize Local Binary Pattern (LBP) for this purpose to obtain the optimum solution. In the proposed scheme we used a fragile image watermarking scheme with recover ability based on local binary pattern (LBP). The local binary pattern operator used to extract localized spatial features. A local binary pattern is used to represent the localized relations of a pixel with its neighborhood pixels. Every pixel measured by the LBP operator and obtained its own local binary pattern as representation of local spatial relations. We utilizes the LBP operator to generate authentication data which are embedded into each image block with 3 × 3 pixels size for tamper detection and recovery. The recovery information is obtained by calculating the mean value of each image block, and then the mean value is converted into a binary string which is embedded into eight neighboring pixels' LSBs of each image block for image recovering. In the proposed scheme we can take the input as 256 × 256 as well as 512×512 dimension image, one of the advantage compare to other existing system is that it can also processed the color image. The quality is calculated by the PSNR but in the proposed scheme PSNR at peak point is also calculated to get better result.

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Section: Semi-fragile Watermarking Schemementioning

confidence: 99%

A Review on Advanced LBP Watermarking Scheme for Image Tamper Detection and Recovery

2017

IJMTER

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“…Yaoran Huo, Hongjie He and Fan Chen [3] proposed proposes a semi-fragile watermarking scheme with discriminating general tampering from collage attack, which presents a new tamper proofing providing more information on who modified the image For each 8×8 image block. the proposed scheme has a superior performance of tamper detection and an ability of discriminating general tampering from collage attack,but not able to recover the tampered region.…”

Section: Related Workmentioning

confidence: 99%

LBP based Watermarking Scheme for Image Tamper Detection and Recovery

Patil¹,

Shinde²

2015

IJCA

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In recent years, digital images are in use in a wide range of Applications and for multiple purposes. They also play an important role in the storage and transfer of visual information, especially the secret ones. With this widespread usage of digital images, in addition to the increasing number of tools and software of digital images editing, it has become easy to manipulate and change the actual information of the image. Therefore, it has become necessary to check the authenticity and the integrity of the image by using modern and digital techniques, which contribute to analysis and understanding of the images' content, and then make sure of their integrity Digital image fragile watermarking is an information hiding technique which adds the watermark into the host image for authentication .while achieving the high integrity one should not compromise with quality distortion of images. numbers of watermarking schemes exist today for balancing between the tamper detection rate and quality of reconstructed images in propose scheme we aim at maintain high tamper detection rate as well as high Peak to Signal Noise Ratio (PSNR) of reconstructed images for their quality. For that we utilize Local Binary Pattern (LBP) for this purpose to obtain the optimum solution.In the proposes scheme we used a fragile image watermarking scheme with recover ability based on local binary pattern (LBP). The local binary pattern operator used to extract localized spatial features. A local binary pattern is used to represent the localized relations of a pixel with its neighborhood pixels. Every pixel measured by the LBP operator and obtained its own local binary pattern as representation of local spatial relations. We utilizes the LBP operator to generate authentication data which are embedded into each image block with 3 × 3 pixels size for tamper detection and recovery. The recovery information is obtained by calculating the mean value of each image block, and then the mean value is converted into a binary string which is embedded into eight neighboring pixels' LSBs of each image block for image recoveringIn the propose scheme we can take the input as 256 × 256 as well as 512×512 dimension image, one of the advantage compare to other existing system is that it can also processed the color image. The quality is calculated by the PSNR but in the proposed scheme PSNR at peak point is also calculated to get better result. General TermsDigital image watermarking, fragile image watermarking, local binary pattern (LBP), PSNR (peak signal to noise ratio)

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“…On the basis of the method [9], Chang et al [10] proposed the fragile watermarking algorithm for tamper detection and location with recover ability based on LBP. In the watermark generation and embedding stage, the two LSBs of each pixel firstly set to zero.…”

Section: Introductionmentioning

confidence: 99%

Analysis on the Copy-move and Splicing Forgery of Fragile Watermarking Based on Local Binary Pattern

Song¹,

Yue²,

Yang³

et al. 2018

Proceedings of the 2017 2nd International Conference on Electrical, Control and Automation Engineering (ECAE 2017)

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Abstract-In the process of transmission, the various factors can effect easily the multimedia information. The receiver can't distinguish whether the received multimedia data has been tampered. The fragile watermarking can authenticate the authenticity and integrality of the multimedia data. The paper analyzes the fragile watermarking based on local binary pattern. Experimental results demonstrate that, in a copy-move and splicing forgery, the existing algorithms can't determine whether a digital image is original or doctored.

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Semi-fragile spatial watermarking based on local binary pattern operators

Cited by 65 publications

References 17 publications

A Review on Advanced LBP Watermarking Scheme for Image Tamper Detection and Recovery

A Review on Advanced LBP Watermarking Scheme for Image Tamper Detection and Recovery

LBP based Watermarking Scheme for Image Tamper Detection and Recovery

Analysis on the Copy-move and Splicing Forgery of Fragile Watermarking Based on Local Binary Pattern

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