Digital Image Watermarking and Its Applications: A Detailed Review

Kashifa, Shaik; Tangeda, Sravani; Sree, Ummadisetty Kavya; Manikandan, V. M.

doi:10.1109/sceecs57921.2023.10063033

Cited by 3 publications

(1 citation statement)

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“…Enhancing watermarks with transform domain techniques represents a formidable strategy, delivering a host of benefits that fortify the protection of digital assets. This approach excels in distributing watermark information across multiple coefficients within the frequency domain, endowing the watermark with heightened resilience against image manipulations like rotation, scaling, and compression, which are common challenges in the digital realm [14]. Moreover, by cleverly utilizing the properties of human visual perception, these techniques embed the watermark with a subtlety that minimally affects the visual quality of the media.…”

Section: Enhancing Watermark With Transform Domainmentioning

confidence: 99%

In-depth exploration of digital image watermarking with discrete cosine transform and discrete wavelet transform

Apu Hosen,

Hoshen Moz,

Shalauddin Kabir

et al. 2024

IJEECS

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Digital image watermarking is a crucial technique used to protect the integrity and ownership of digital images by embedding imperceptible watermarks into the image content. This review concentrates on the utilization of discrete cosine transform (DCT) and discrete wavelet transform (DWT) in digital image watermarking schemes. DCT, widely used in image compression like JPEG, is an attractive choice for watermarking, modifying DCT coefficients with minimal impact on image quality. On the other hand, DWT offers multiresolution representation, enabling better localization and robustness against attacks. DWT-based methods use wavelet coefficients to embed watermarks in specific frequency bands or image regions. The review examines the strengths and weaknesses of DCT and DWT in digital image watermarking, exploring algorithms and approaches proposed in the literature. It also addresses challenges like attacks, synchronization, and robustness to image processing. Additionally, a comparative analysis of DCT and DWT-based methods considers imperceptibility, robustness, capacity, and computational complexity. By offering valuable insights, this review aids researchers and practitioners in implementing secure and efficient digital image watermarking solutions.

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Section: Enhancing Watermark With Transform Domainmentioning

confidence: 99%