抽象的な

INFORMATION HIDING WATERMARKING DETECTION TECHNIQUE BY PSNR AND RGB INTENSITY

Ms. Neha Chauhan, Akhilesh A. Waoo and P. S. Patheja

There has been many techniques for hiding messages in images. We propose a new region-adaptive watermarking algorithm which will be used for the novel application to detect watermark attacks. One of the major advantages of the proposed watermarking detection technique is PSNR and RGB Intensity value that it allows tamper detection using linear classifier by providing these discriminating features. The watermark data is embedded on different regions of the host image using a combination of discrete wavelet transform and singular value decomposition technique. In addition, there is a novel use the region-adaptive watermarking technique as a means to detect if certain types of attack have occurred. As will be elaborated, the technique to improves the speed of detection, and also test the robustness of the proposed watermarking scheme. They are Gaussian noise, salt and pepper noise, sharpen, smoothing, histogram equalization and JPEG compression attack. At the same time, rotation, translation and scaling belongs to geometric attacks are also applied. The severity of these attacks can be adjusted by modifying their corresponding parameter values. Experimental results will detected the hiding data on the original image and has little relation to secret message file. It helps, for providing more security to the information