Description: 提出了一种基于小波域的图像数字水印算法·该算法将相互正交的两种水印(鲁棒水印和参考
水印)同时添加到经过DWT后的载体图像小波系数中,然后用小波反变换得到添加了水印的图像·用提取出
的参考水印来估计图像所受到的攻击,由于提取出的鲁棒水印所受的攻击与参考水印受到的攻击一样,因此
可以估计出原始的鲁棒水印·通过对嵌入水印的图像进行加入噪声、滤波、压缩以及裁剪等大量图像处理等试
验,均能正确检测出水印,表明该算法具有很好的感知效果和鲁棒性
-A wavelet-based image digital watermarking algorithm that the algorithm will be mutually orthogonal two watermarks (watermark robust watermarking and reference) at the same time added to the carrier after image after DWT wavelet coefficients, and then using wavelet transform has been Add a watermark image to use to extract a reference to estimate the watermark image by the attacks, as a result of the robust watermark extracted suffered attacks and the reference watermark by the same attack, it can be estimated through the original Robust Watermarking of the embedded watermark image by adding noise, filtering, compression and cutting, such as a large number of image processing such as testing, can correctly detect the watermark, show that the algorithm has good performance and robustness of perception Platform: |
Size: 190464 |
Author:李倩 |
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Description: 提出一种基于DWT和DCT域的有意义二值图像数字水印算法 利用Arnold变换对水印序列进行置乱,消除象素的空间相关性,增加水印的安全性 而结合小波波变换和离散余弦变换的特性,将水印信息嵌入到图像变换域的低频和中频系数中,提高水印的鲁棒性和不可见性 实验证明该算法具有较好的抗压缩、抗噪音和抗剪切性。
-Making meaningful binary image digital watermarking algorithm based on DWT and DCT domain using Arnold transform the watermark sequence scrambling, eliminating the spatial correlation of pixel, increasing the security of the watermark and small wave transform and discrete cosine transform characteristics of the watermark information embedded in the low and intermediate frequency of the image transform domain coefficients, improve the watermark robustness and invisibility experiments show that this algorithm has good resistance to compression, anti-noise and shear resistance. Platform: |
Size: 578560 |
Author:apwyhh |
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Description: Image Compression using hybrid of DWT,DCT and Huffman Coding:This research paper presents a proposed method for the compression of medical images using hybrid compression technique (DWT, DCT and Huffman coding). The objective of this hybrid scheme is to achieve higher compression rates by first applying DWT and DCT on individual components RGB. Platform: |
Size: 396288 |
Author:samia |
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Description: Digital Watermarking Using Discrete Wavelet Transform (DWT) & Singular Value Decomposition (SVD) & Checking its Robustness in the presence of JPEG Image Compression Platform: |
Size: 4096 |
Author:manjuatha vg |
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Description: E ective image compression requires a non-expansive discrete wavelet transform (DWT) be
employed consequently, image border extension is a critical issue. Ideally, the image border
extension method should not introduce distortion under compression. It has been shown in
literature that symmetric extension performs better than periodic extension. However, the
non-expansive, symmetric extension using fast Fourier transform and circular convolution
DWT methods require symmetric lters. This precludes orthogonal wavelets for image compression
since they cannot simultaneously possess the desirable properties of orthogonality
and symmetry. Thus, biorthogonal wavelets have been the de facto standard for image compression
applications. The viability of symmetric extension with biorthogonal wavelets is
the primary reason cited for their superior performance.-E ective image compression requires a non-expansive discrete wavelet transform (DWT) be
employed consequently, image border extension is a critical issue. Ideally, the image border
extension method should not introduce distortion under compression. It has been shown in
literature that symmetric extension performs better than periodic extension. However, the
non-expansive, symmetric extension using fast Fourier transform and circular convolution
DWT methods require symmetric lters. This precludes orthogonal wavelets for image compression
since they cannot simultaneously possess the desirable properties of orthogonality
and symmetry. Thus, biorthogonal wavelets have been the de facto standard for image compression
applications. The viability of symmetric extension with biorthogonal wavelets is
the primary reason cited for their superior performance. Platform: |
Size: 2140160 |
Author:bamerni |
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