A ROBUST WATERMARKING TECHNIQUE BASED ON HYBRID PSO
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): SHEETAL KHOKHAR , PARVINDER SINGH
Abstract: This paper presents a robust image watermarking technique usingWeight ImprovedParticle Swarm Optimization. The concept of WIPSO makes the technique intelligent because the watermark is embedded into the image adaptively, depending on the test image. Significant difference of wavelet coefficients quantization method has been used for embedding watermark that provides robustness and makes the technique blind. The watermark is embedded in the predetermined bit plane in the given lower frequency sub bands by adjusting the values of the wavelet coefficients. Hybrid of Particle Swarm Optimization (PSO) gives more promising results than PSO
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-81
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PRACTICAL CONTOUR TRACING VIA INTEGRATION OF ADAPTIVE CONTRAST STRETCHING AND GABOR WAVELET TRANSFORM
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): HABIB MOHAMADIAN , HANG YIN , ZHENGMAO YE , YONGMAO YE
Abstract: The Gabor filter is applied using discrete wavelet transform for edge detection and contour tracing on true color images, whose wavelet functions provide the high resolution in both spatial and frequency domains. The number of wavelets also affects the quality of edge detection. To generate more accurate outcomes, integration of adaptive contrast stretching and Gabor wavelet transform is properly carried out for edge detection and contour tracing on broadly selected images. Contrast stretching is based on adaptive histogram equalization generalization, where the accumulation function is used to generate intensity mapping of three primary color components stem from local histograms. Any digital image consists of major objects, edges, corners and blobs as well as the noises and background fluorescence. Critical changes in image properties can be captured via detecting sharp variations in the intensity. Although the gray level intensity is commonly used for edge detection, the mixture of
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-029-3-82
- Views: 0
- Downloads: 0