Digital Image Processing and Recognition in Industrial and Public Environments

Vasil, Radu; Frigura-Iliasa, Flaviu Mihai; Iorga, Mirela; Filipescu, Hannelore; Rogobete, Marius; Nen, Madlena

doi:10.1109/irce.2019.00015

Cited by 1 publication

(1 citation statement)

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“…Therefore, only the receivers under control may gain from the clear photo/video stream. The concealed watermark may contain information that would typically be used to identify the owner [12]. To secure the secret material in the carried work, they used a digital watermarking technique.…”

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%