A Novel Digital Watermarking Technique for Video Copyright Protection

Ghosh, Poulami; Ghosh, Rilok; Sinha, Souptik; Mukhopadhyay, Ujan; Chakroborty, Aruna

doi:10.5121/csit.2012.2360

Cited by 9 publications

(4 citation statements)

References 3 publications

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“…The proposed system demonstrated that the procedure is extremely reliable. Poulami Ghosh et al [27] presented a new watermarking approach in 2012 that included both visible and invisible watermarks in a video. Because digital data may be easily duplicated without deterioration in quality, data protection is required.…”

Section: Frequency Domainmentioning

confidence: 99%

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

2023

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Watermarking is widely used in multimedia preservation and communication, which comprises, and is therefore not limited to, data security and validation. Security, readability, imperceptibility, and resilience are some of the key advantages of this technology. However, there are still certain issues that need to be addressed, such as the ability to withstand a variety of assaults without substantially affecting the quality and value of embedded data. Based on its operational domain, the watermarking technology may be divided into two groups: spatial and frequency watermarking. An index mapping-based watermarking approach for copyright protection of multi-media color videos is presented in this paper. We offer a hybrid discrete wavelet transform and discrete cosine transform (DCT) watermarking algorithm for digital video watermarking of a color video watermark. Peak signal to noise ratio (PSNR), similarity structure index measure (SSIM), have been used to analyze the distortion produced by watermarking. It is suggested that the proposed video watermarking method provides greater imperceptibility in conjunction with each other with the human visual system and it offers higher robustness against different attacks.

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Section: Frequency Domainmentioning

confidence: 99%

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

2023

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“…There are number of researchers has focused on watermarking in video using edge and corner regions, the most recent researches are explained as follow: Ghosh et al [9] proposed a novel Watermarking technique whether visible and invisible watermarks are embedded in the video by using Discrete Wavelet transform (DWT) which gives an extraction edge in the copyright protection. The suggested algorithm works properly on gray scale and on video of uncompressed (AVI format) that protected a video from illegal access by embedding watermarks into video, Peak Signal to Noise Ratio (PSNR) is calculated to measure efficiency of this method.…”

Section: Related Reviewmentioning

confidence: 99%

Proposed Video Watermarking Algorithm based on Edge or Corner Regions

Hassan¹,

Abbas²

2018

ETJ

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In this research, a watermark algorithm is proposed to embed a secret message in a digital video. The proposed algorithm exploits edges and corners regions in images, to be hosts for hiding secret bits. Embedding in these regions is consider optimal since these regions featuring with colors variation, so embedding will not effect on uniform distribution of colors, and on transparency requirement. The process of embedding and extracting watermarked massage is implemented by decomposition digital video to several images (frames), then selecting the edges and corners regions to be host locations, Least Significant Bit (LSB) techniques are used to embed watermarked message in images of digital video. Investigations results proved that number of hidden bits in corner region is small in comparison with edges regions, but it is harder to detect. Text message before embedded in video frames is encrypted by Advanced Encryption Algorithm (AES) to increase security and robustness of watermarking process.

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“…Through DWT signals can be analyzed at different level called as multi resolution analysis [6]. Unlike DCT, in DWT transformation is applied on whole image, not on nonoverlapped 2-D blocks.…”

Section: Discrete Wavelet Transformationmentioning

confidence: 99%

Comparative Performance Analysis of Secured LWT-SVD Based Color Image Watermarking Technique in YUV, YIQ and YCbCr Color Spaces

Sejpal¹,

Shah²

2016

IJCA

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In this paper the perceptual quality and robustness in LWT domain and DWT domain is evaluated for the gray-scale image. The proposed technique is based on Lifting Wavelet Transform and Discrete Wavelet Transform (LWT-SVD) domain for embedding the gray-scale image to the color host image. Fibonacci-Lucas Transform is used to scramble the watermark image for security reason. YUV, YIQ and YCbCr color spaces are evaluated by implementing this secured robust algorithm. Y, U, V, I, Q, Cb and Cr channels are examined for the perceptual quality and robustness. Maximum recorded PSNR for V channel is 90.6039 and up to 65.5971 for Y channel in YCbCr color space. Maximum NC is recorded in Y channel for all the color spaces. Applied various attacks like Average filter, Gaussian filter, Gaussian Noise, Salt & pepper noise, Blur, Motion Blur, Crop, JPEG Compress, Rotate, etc. to the proposed technique to test all the channels of the different color spaces.

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A Novel Digital Watermarking Technique for Video Copyright Protection

Abstract: Abstract:Due to the rapid growth of internet and technology, protecting

Cited by 9 publications

References 3 publications

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT

Proposed Video Watermarking Algorithm based on Edge or Corner Regions

Comparative Performance Analysis of Secured LWT-SVD Based Color Image Watermarking Technique in YUV, YIQ and YCbCr Color Spaces

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