Robust image watermarking scheme using bit-plane of hadamard coefficients

Etemad, Elham; Samavi, Shadrokh; Soroushmehr, S. M. Reza; Karimi, Nader; Etemad, Mohammad; Shirani, Shahram; Najarian, Kayvan

doi:10.1007/s11042-016-4278-1

Cited by 30 publications

(12 citation statements)

References 24 publications

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“…In our future works, we also can make content base PSNR that considers the important parts of the image based on human wants and after segmenting the image and finding these parts, give them higher weights in the final PSNR map. The proposed method can be applied to other watermarking methods [14][15][16][17][18].…”

Section: Discussionmentioning

confidence: 99%

Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation

Jamali

Karimi

Samavi

2021

2021 29th Iranian Conference on Electrical Engineering (ICEE)

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One of the problems of conventional visual quality evaluation criteria such as PSNR and MSE is the lack of appropriate standards based on the human visual system (HVS). They are calculated based on the difference of the corresponding pixels in the original and manipulated image. Hence, they practically do not provide a correct understanding of the image quality. Watermarking is an image processing application in which the image's visual quality is an essential criterion for its evaluation. Watermarking requires a criterion based on the HVS that provides more accurate values than conventional measures such as PSNR. This paper proposes a weighted fuzzybased criterion that tries to find essential parts of an image based on the HVS. Then these parts will have larger weights in computing the final value of PSNR. We compare our results against standard PSNR, and our experiments show considerable consequences.

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Section: Discussionmentioning

confidence: 99%

Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation

Jamali

Karimi

Samavi

2021

2021 29th Iranian Conference on Electrical Engineering (ICEE)

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“…For improving robustness, the mainstream in literature is to embed the watermark data in a transform domain by manipulating specific transform coefficients. Some popular transform domains suggested for watermarking are DCT [31], Wavelet [32], Hadamard [33], Contourlet [34] or a mixture of transforms [35]. Sadreazami et al [36] proposed a multiplicative embedding method in Contourlet domain, which requires statistical analysis for data extraction.…”

Section: Related Workmentioning

confidence: 99%

ReDMark: Framework for residual diffusion watermarking based on deep networks

Ahmadi

Norouzi

Karimi

et al. 2020

Expert Systems with Applications

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177

122

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“…In most of the cases discrete wavelet transformations (DWT) are used to decompose the image into the different set of frequency sub-bands like LL, LH, HL, HH to locate suitable area [13] [14][18] [23]. DWT, The Artificial bee colony and discrete cosine transformation in combination with various schemes used to attain robustness with respect to block based segmentation and others types of segmentation of cover image providing robustness to embed a watermark in accordance with the suitable embedding procedure [5] [7][12] [13] [14]. The usage of fractional Krawtchouk transform (FrKT) in the digital image watermarking has given better robustness by using eigenvalue decomposition [1].…”

Section: Related Workmentioning

confidence: 99%

Serial Digital Color Image Watermarking using Composite Scheme

Savakar¹,

Ghuli²

2017

IJIGSP

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Abstract-Digital watermarking is one of the ways to have Copyright protection for digital information. The digital watermarking scheme used for watermark embedding has to satisfy robustness property to ensure the security of the secret information hidden. The scheme presented here will support the above said statement significantly. We propose here the scheme as composition of both blind and non-blind digital watermarking technique in a process of serial watermarking. A secret binary image is embedded in the first cover image to get first watermarked image by using blind watermarking technique. Then this first watermarked image is again embedded into second cover image to get serial watermarked image using non-blind watermarking technique. To extract secret binary image, first non-blind watermark extraction technique and then blind watermark extraction techniques are used. From this composite approach and serial watermark embedding procedure, we achieved considerable fidelity and robustness against -Rotation, JPEG compression and for noises Salt & pepper, Gaussian, Speckle, Poisson and multiple noises.Index Terms-Composite scheme, Serial watermarking, First cover image, Second cover image, Serial watermarked image, Blind, Type-II Non-blind.

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Robust image watermarking scheme using bit-plane of hadamard coefficients

Cited by 30 publications

References 24 publications

Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation

Weighted Fuzzy-Based PSNR for Watermark Visual Quality Evaluation

ReDMark: Framework for residual diffusion watermarking based on deep networks

Serial Digital Color Image Watermarking using Composite Scheme

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