Digital Image Watermarking at Different Levels of DWT using RGB Channels

,; Savakar*, Dr. Dayanand G.; Pujar, Mr. Shivanand; ,

doi:10.35940/ijrte.d6821.018520

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The pre-calculated (norm) values for every one of the decided four parts will be merged in this step by suggesting a suitable equation for this purpose as follows 𝑤 = 2 1 × 𝑤 1 + 2 2 × 𝑤 2 + 2 3 × 𝑤 3 + 2 4 × 𝑤 4 …3 This equation assets various weight for each part but enlarges the value of difference if any pixel will be changed, so for matrix A the following results will be calculated 𝐻𝑉 1 = (10.4086 1.2890) 𝐻𝑉 2 = (13.…”

Section: -Merging the Unique Numbers For All Partsmentioning

confidence: 99%

Watermark Based on Singular Value Decomposition

Qazzaz

Kadhim²

2023

Baghdad Sci.J

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Watermarking operation can be defined as a process of embedding special wanted and reversible information in important secure files to protect the ownership or information of the wanted cover file based on the proposed singular value decomposition (SVD) watermark. The proposed method for digital watermark has very huge domain for constructing final number and this mean protecting watermark from conflict. The cover file is the important image need to be protected. A hidden watermark is a unique number extracted from the cover file by performing proposed related and successive operations, starting by dividing the original image into four various parts with unequal size. Each part of these four treated as a separate matrix and applying SVD on it, the diagonal matrix is selected to determine its norm. The four norms will be processed to produce one unique number used as a watermark and this number can be developed in future by exploiting some other features in constructing watermark number other than SVD process to construct two watermark numbers, each one of them owned special methodology, for avoiding some challenges and changings in the transformation process.

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Section: -Merging the Unique Numbers For All Partsmentioning

confidence: 99%

Watermark Based on Singular Value Decomposition

Qazzaz

Kadhim²

2023

Baghdad Sci.J

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“…In paper [14] two techniques are used which are data hiding and ciphering, where the watermark is encrypted by using XOR operation and then embedded in the DWT domain, the results proved that the method is robust against many attacks. Paper [15] proposed a new method consisting of mainly two techniques, the first is discrete wavelet transform (DWT) and the second is least significant bit (LSB), the concealment process was done in three colors (RGB). The results proved the efficiency of the proposed method against attacks.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving Encryption Digital Watermark by Using Blue Monkey Algorithm

Abdulhammed¹

2021

IJC

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Watermarking enables the users to share the digital contents in public domain without any issue. In the present day, the tremendous development in the digital technologies and networks caused an increase in the threats of unauthorized copying, tampering of digital media and image theft. To face these threats, digital watermark technology can be applied. However, the current paper uses new technique with two main algorithms that are the following ones: improved honey algorithm that is used to encrypt the digital watermark and blue monkey meta-heuristic algorithm which is used to find the best location in the host image to hide the digital watermark. Furthermore, in order to check the security and the robustness of the proposed method against various common image processing attacks such as Gaussian noise, Rotation, Salt and pepper noise, Sharpen, Median filter, Average filter, compression and Cropping is computed, certain performance metrics such as Peak to Signal Noise Ratio (PSNR)and Mean Square Error (MSE) also are computed. Likewise, Normalized Correlation (NC) is used to check similarity between the original and extracted digital watermark. The results demonstrate that the proposed method is efficient, provides high security and robustness against most attacks compared to the pervious methods.

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Color Adaptive Robust DWT-SVD Watermarking Algorithm and Limitations : Color Space Comparisons

Patel

2022

2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT)

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Digital Image Watermarking at Different Levels of DWT using RGB Channels

Cited by 4 publications

References 6 publications

Watermark Based on Singular Value Decomposition

Watermark Based on Singular Value Decomposition

Improving Encryption Digital Watermark by Using Blue Monkey Algorithm

Color Adaptive Robust DWT-SVD Watermarking Algorithm and Limitations : Color Space Comparisons

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