Digital Image Watermarking technique for tamper detection and restoration

Meenpal, Ankita; Majumder, Saikat; Pandey, Shubhangi

doi:10.1109/icpc2t48082.2020.9071436

Cited by 1 publication

(1 citation statement)

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“…Using channel coding, the original image is protected against manipulation and compressed before being utilised as a watermark in an embeddable document. The proposed approach successfully combines with the JPEG picture, resulting in better image quality as well as robust performance against noise attacks [14]. The text and image in the article have been secured using a digital watermarking (DW) and steganography-based approach.…”

Section: Literature Surveymentioning

confidence: 99%

Quality analysis of distributed max-plus algebra based morphological wavelet transform

Shetty,

Ashwini,

Venugopala

et al. 2023

J. Phys.: Conf. Ser.

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This proposed technique employs a disseminated data embedding watermarking strategy that is based on a morphological wavelet transform and uses Max-plus algebra to achieve high image quality, big data capacity, and reasonable operational cost. Previously, we had to use a simple MMT watermarking methodology and estimated that using image quality parameters, primarily considering the diagonal component (HH). For embedding watermarks after the decomposition process carried through MMT, the presented distributed data embedding strategy, however, emphasises on middle frequency signal-groups. We have used hypothesized watermarking technique to process five benchmark images during the experiments to examine the scheme’s capability. The PSNR and the SSIM values are elevated by the proposed approach. The combined (high and low) frequency’s PSNR value is preferable towards the high frequency’s. It is also remarked that the middle-frequency SSIM value is higher than the high-frequency value.

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Section: Literature Surveymentioning

confidence: 99%