Performance analysis of SMRT-based color image watermarking in different color spaces

Ikbal, Febina; Gopikakumari, R.

doi:10.1080/19393555.2021.1873465

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…To impart safeguarding of copyright that has crucial demand for color images, an image-watermarking scheme deployed on sequence-based MRT (SMRT) was tendered for color images [12] where the principle goal was to detect preferable color space among the habitually pre-owned color spaces. A cascaded neural network approach deployed on two different neural network models was projected [13] by using an optimized feature-based digital watermarking algorithm.…”

Section: Related Workmentioning

confidence: 99%

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

Mokashi

Bhat

Pujari

et al. 2022

Contrast Media & Molecular Imaging

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In the modern era of virtual computers over the notional environment of computer networks, the protection of influential documents is a major concern. To bring out this motto, digital watermarking with biometric features plays a crucial part. It utilizes advanced technology of cuffing data into digital media, i.e., text, image, video, or audio files. The strategy of cuffing an image inside another image by applying biometric features namely signature and fingerprint using watermarking techniques is the key purpose of this study. To accomplish this, a combined watermarking strategy consisting of Discrete Wavelet Transform, Discrete Cosine Transform, and Singular Value Decomposition (DWT-DCT-SVD) is projected for authentication of image that is foolproof against attacks. Here, singular values of watermark1 (fingerprint) and watermark2 (signature) are obtained by applying DWT-DCT-SVD. Affixing both the singular values of watermarks, we acquire the transformed watermark. Later, the same is applied to cover image to extract the singular values. Then we add these values to the cover image and transformed watermark to obtain a final watermarked image containing both signature and fingerprint. To upgrade the reliability, sturdiness, and originality of the image, a fusion of watermarking techniques along with dual biometric features is exhibited. The experimental results conveyed that the proposed scheme achieved an average PSNR value of about 40 dB, an average SSIM value of 0.99, and an embedded watermark resilient to various attacks in the watermarked image.

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Section: Related Workmentioning

confidence: 99%

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

Mokashi

Bhat

Pujari

et al. 2022

Contrast Media & Molecular Imaging

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“…According to watermark extraction requirements, 12 robust watermarking can be classified into three groups, namely blind, 13 semi‐blind, 14 and non‐blind 15 . The original image is required for extraction of the watermark in the non‐blind robust watermarking methods.…”

Section: Introductionmentioning

confidence: 99%

“…Also, the watermark embedding capacity of the method is very poor as only one SVD component of the third level subband is used. Non‐blind and robust method based on sequency based MRT (SMRT) was studied by Ikbal and Gopikakumari 12 . In this work, grayscale watermark image was hidden into the SMRT of R component of the original color image.…”

Section: Introductionmentioning

confidence: 99%

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A blind robust color image watermarking method based on discrete wavelet transform and discrete cosine transform using grayscale watermark image

Gül

2022

Concurrency and Computation

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With the rapid development of internet technology, digital images are easily accessed and tampered by unauthorized users. Therefore, copyright of color images has become an important challenge in nowadays. Robust color image watermarking methods have emerged to provide copyright. However, robust watermarking methods must satisfy the requirements such as robustness, imperceptibility, capacity, and security. Therefore, researchers are focused on methods using grayscale watermark instead of the binary watermark to increase capacity. Grayscale watermark based robust color image watermarking methods are mostly semi-blind and non-blind. However, these methods have limited utilization areas since the original image, original watermark, or side information is required. To address these drawbacks, we propose a blind robust color image watermarking method using grayscale watermark. In the proposed watermark embedding procedure, one-level discrete wavelet transform is performed on the Cb color component. Then, scrambled watermark pixels are hidden into coefficients of 4 × 4 discrete cosine transform (DCT) matrices of LL subband by using dividing-based new watermark embedding formula. In the watermark extracting procedure, watermark pixels are extracted from coefficients of DCT matrices by using dividing-based extracting formula. The performance is demonstrated against various attacks and experimental results indicate that the presented method ensures robustness while preserving imperceptibility.

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Robust digital image watermarking using cuckoo search optimization and probabilistic neural network

Gupta,

Kishore

2023

Multimed Tools Appl

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Performance analysis of SMRT-based color image watermarking in different color spaces

Cited by 4 publications

References 26 publications

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

Efficient Hybrid Blind Watermarking in DWT‐DCT‐SVD with Dual Biometric Features for Images

A blind robust color image watermarking method based on discrete wavelet transform and discrete cosine transform using grayscale watermark image

Robust digital image watermarking using cuckoo search optimization and probabilistic neural network

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