Combined DWT-DCT Digital Image Watermarking

The proposed conversion was tested using an original color image to get the gray image and without applying any processing we got the color image using inverse

Discrete cosine transform (DCT) and discrete sine transform (DST) are used as key functions in many signal and image processing applications.. The DCT and DST transform of types

However, in Table 2 the negative image for small resolutions (256×256 and 512×512) CUDA module is slower than OpenCV function and when the resolution is increased CUDA

The entropy of the watermarked image and correlation coefficient of extracted watermark image is very close to ideal values, proving the correctness of proposed

The JPEG process is a widely used form of lossy image compression that centers on the Discrete Cosine Transform.. DCT and Fourier transforms convert images from spatial-domain to

First we are separating the image into R, G, B planes and then decomposing the image plane into 4 blocks and applying DCT transform over row mean vectors of each block

Mostly, DWT[1,17] is applied on the whole image in conventional image compression methods, but in the contextual based coding, different thresholds are applied to the

Fig.10 shows the host image; Fig.11 shows the watermarked image without encryption; Fig.12 illustrates the recovered watermark; Fig.13 provides the encrypted watermark;