Image Security Enhancement using DCT &amp; DWT Watermarking Technique

Joseph, Hilkiya; Rajan, Bindhu K

doi:10.1109/iccsp48568.2020.9182052

Cited by 10 publications

(3 citation statements)

References 13 publications

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“…Joseph et al [35] propose an original digital watermarking technique combining DCT and DWT, achieving superior quality in watermarked images with higher PSNR and lower MSE values than existing methods. Souadek and Nasser [36] present a blind and robust watermarking algorithm using a hybrid combination of DWT and DCT with edge insertion, enhancing resilience against various attacks while preserving image quality.…”

Section: Literature Reviewmentioning

confidence: 99%

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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: Literature Reviewmentioning

confidence: 99%

“…Image authentication [35] Color images -Quality Improve the image quality after the watermarking process.…”

Section: Dbmentioning

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

View full text Add to dashboard Cite

show abstract

“…The image is converted into the frequency domain by DCT. Compared to spatial domain techniques, frequency domain techniques are more efficient [21].…”

Section: Discrete Cosine Transformmentioning

confidence: 99%