An Optimized Semi-blind Watermarking Technique for Digital Images using Bat Algorithm

Kumar, Ch. Ravi; Sivananthamaitrey, P.; Kumar, Pardeep

doi:10.1109/ic3p52835.2022.00042

Cited by 1 publication

(1 citation statement)

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“…The aim of the proposed model was to use the least amount of watermark embedding to achieve a high level of image quality and protection. Kumar et al in [14] proposed a semi-blind watermarking scheme for digital images using the Bat Algorithm (BA). The results show good peak signal to noise ratio (PSNR) and low normalized correlation (NC) compared to the same hybrid combination with firefly optimization.…”

Section: Related Workmentioning

confidence: 99%

Robust, Secure and Semi-Blind Watermarking Technique Using Flexible Scaling Factor in Block-Based Wavelet Algorithm

2022

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Multimedia security has received much attention recently because of the rapid transmission of elements such as text, images, audio, video, software, animation and games. Security is becoming especially critical for content owners concerned about the illegal usage of their original products. Encryption and watermarking are two methodologies for digital applications. Spatial domain and frequency domain watermarking algorithms give very promising results in embedding binary images into the cover images. This paper proposed a new method of semi-blind watermarking technique. The digital images are divided into 4 × 4 blocks and converted into discrete Wavelet transformations (DWTs). The binary image is embedded into each block using the flexible scaling factor method. Experimental results show that the proposed method has higher peak signal to noise ratio (PSNR) and similarity ratio (SR) values compared to the standard Wavelet transformation and block-based Wavelet algorithms. The results prove that the proposed hybrid algorithm is more effective, robust, secure and resistant than DWT and block-based DWT algorithms.

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Section: Related Workmentioning

confidence: 99%