- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) - Stuttgart, Germany (2018.11.20-2018.11.22)] 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) - Secure and Robust Color Image Watermarking for Copyright Protection Based on Lifting Wavelet Transform
摘要： This paper presents a secure and robust color image watermarking algorithm for copyright protection. This method uses lifting wavelet transform (LWT) to decompose both the host image and the watermark into different sub-bands and performs watermark embedding in the transform domain. A security key is introduced in the algorithm for security purpose. Two color images are used to test the performance of the proposed algorithm. Results show that the scheme not only has good imperceptibility and but also are robust to various geometric and image processing attacks.
关键词： image processing,watermarking,robust and secure,lifting wavelet transform
更新于2025-09-23 15:22:29
-
Secure Image Watermarking Based on LWT and SVD
摘要： Nowadays, digital watermarking is employed for authentication and copyright protection. In this paper, a secure image watermarking scheme based on lifting wavelet transform (LWT) and singular value decomposition (SVD), is proposed. Both LWT and SVD are used as mathematical tools for embedding watermark in the host image. In this work, the watermark is a speech signal which is segmented into shorted portions having the same length. This length is equal to 256 and these different portions constitute the different columns of a speech image. The latter is then embedded into a grayscale or color image (the host image). This procedure is performed in order to insert into an image a confidential data which is in our case a speech signal. But instead of embedding this speech signal directly into the image, we transform it into a matrix and treated it as an image ("a speech image"). Of course, this speech signal transformation permits us to use LWT-2D and SVD to both the host image and the watermark ("a speech image"). The proposed technique is applied to a number of grayscale and color images. The obtained results from peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) computations show the performance of the proposed technique. Experimental evaluation also shows that the proposed scheme is able to withstand a number of attacks such as JPEG compression, mean and median attacks. In our evaluation of the proposed technique, we used another technique of secure image watermarking based on DWT-2D and SVD.
关键词： Speech image,color image,lifting wavelet transform,grayscale image,singular values decomposition,secure,watermark,image watermarking
更新于2025-09-09 09:28:46