Publications (2) View all
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Article: A Robust Blind Image Watermarking Method Using Local Maximum Amplitude Wavelet Coefficient Quantization
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ABSTRACT: In this paper, an innovative blind watermarking algorithm has been proposed for imagery applications. This algorithm has used the coefficients of the discrete wavelet transform of the host image in the form of super trees to embed the predefined binary watermark in the host image. In this scheme, a pseudo random sequence is generated to determine the exact wavelet super trees used for embedding procedure. In the next step, after choosing the maximum and second maximum amplitude coefficients of each super tree, the distance vector between two coefficients is computed. For embedding bit zero of the specified watermark, the values of the distance vector elements are decreased, while for embedding bit 1, those values will be increased based on the proposed formulas. The experimental results show that the proposed algorithm has significant robustness against image processing attacks, especially JPEG compression and also the PSNR value for the watermarked images generated by the proposed method is more than 42 dB.Advances in Electrical and Computer Engineering. 01/2010; -
Conference Proceeding: Improvement of image zooming using least directional differences based on linear and cubic interpolation
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ABSTRACT: There are many interpolation methods, among them, bilinear (BL) and bicubic (BC) are more popular. However, these methods suffer from low quality edge blurring and aliasing effect. In the other hand, if high resolution images are not available, it is impossible to produce high quality display images and prints. To overcome this drawback, in this paper, we proposed a new method that uses least directional differences of neighbor pixels, based on preceding bilinear and bicubic interpolation methods for images. The qualitative and quantitative results of proposed technique show that this method improves bilinear and bicubic interpolations. The proposed algorithm can also be applied both to RGB and gray level images.Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on; 03/2009
