GCRIS

The main idea for this research is apply JPEG technique with enhanced quantization, on Discrete Wavelet Transformation (DWT). The DWT minimize the size of the image into convert the image into LL, HL, LH and HH sub-bands. The LL sub-band represents approximately original image, and then applied JPEG technique on the LL sub-band, then applied quantization to increase number of zeros. Finally apply Sequential Search Coding on the JPEG matrix for coding. The Sequential Search Coding work to convert group of data into single floating point value by using Key.

The purpose of digital watermarking is to attempt to solve the copyright ownership problem for all multimedia data which can be image, audio or video. The main objective of this thesis is to design a robust method of image watermarking for copy protection and copyright protection. The thesis consists principally from an overview of watermarking algorithm, types of watermarking, watermarking requirements. Further the watermarking techniques that are used in embedding. There are many watermarking techniques discussed in spatial domain and transform domains. The spatial domain watermarking algorithms still not resistant to lossy compression image, shed noise in the image and most operations of image processing. On the other hand, frequency domain watermarking techniques can embed more bits for watermark and the watermarked images are more robust to attack. Otherwise, in frequency domain we can embed more bits and more resistance to the attacks. However, comparing watermarking in DWT with watermarking in DCT, DWT has a number of advantages that led us to focus in discrete wavelet transform from other types of same domain. In this thesis, there are three different watermarking methods proposed in different levels DWT based on radon transform. All proposed methods are requires the presence of original image for watermark extraction. Each method is various from the other from the way of embedding the watermark, the number of watermarks that embedded and in which level the watermark embedded. Moreover, the watermarked image and attacked images measured by the PSNR that measuring the noise ratio in each image. Finally, we attempt to extract the watermark and attacked image, to determine the proportion of the deterioration that occurred after the attack or the embedding process.

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