An Advanced Watermarking and Compression of Images using SPIHT Compression

Everyday very huge amount of data is embedded on digital media or distributed over the internet. One way to overcome illegal duplication of the data is to insert information known as watermark, into potentially vulnerable data in such a way that it is impossible to separate the watermark from the data. A watermark is a form, image or text that is impressed onto digital media, which provides evidence of its authenticity. Another most common issue today is the storage, manipulation, and transfer of digital images. The files that comprise these images, however, can be quite large and can quickly take up precious memory space on the computer’s hard drive. In multimedia application, most of the images are in color. And color images contain lot of data redundancy and require a large amount of storage space. This project concentrates on implementing watermark in image as well as video and also reducing the size of the data by compressing it using SPIHT (Set Partitioning In Hierarchical Trees) compression. The main consideration for any watermarking scheme is its robustness to various attacks. Experimental results demonstrate that it is robust by calculating normalized cross co-relation (NCCR), mean square error (MSE) and the peak signal to noise ratio (PSNR) between the watermark image and extracted image.