Robust blind watermarking approach against the compression for fingerprint image using 2D-DCT

Lebcir, Mohamed; Awang, Suryanti; Benziane, Ali

doi:10.1007/s11042-022-12365-6

Cited by 4 publications

(1 citation statement)

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“…The approach is based on DCT and compressive sensing (CS), where CS is used to encrypt the watermark data and DCT is applied to a host image. In [18], the authors attempted to embed patients' two biometrics, fingerprints and face, using a two-stage watermarking approach. Initially, the fingerprint was encrypted using minutiae extraction and encoding into the original face image and a key.…”

Section: Literature Surveymentioning

confidence: 99%

Digital Watermarking System for Copyright Protection and Authentication of Images Using Cryptographic Techniques

Vaidya

Rajesh²,

Hosny

et al. 2022

Applied Sciences

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Digital images are transferred with ease through the network. Many users are using the images without the knowledge of the owners. Therefore, a novel watermarking scheme is proposed to ensure copyright protection and authentication of images using cryptography techniques. Here, a quick response (QR) image is generated for a watermark image that contains public and private keys prepared using a cryptosystem. Later, this QR image is scrambled using a chaotic logistic map. The public and private keys are used to cipher and decipher the data. Next, the scrambled QR watermark is embedded into a color image using a single-level discrete wavelet transform followed by singular value decomposition using the key value. Finally, the inverse process is applied to extract the watermark. The proposed method is validated using various image processing attacks. The results are then compared with state-of-the-art watermarking schemes. The experimental results show that the scheme provides good results in terms of robustness and imperceptibility.

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Section: Literature Surveymentioning

confidence: 99%