This paper presents a DWT-DCT-SVD based hybrid watermarking method for color images. Robustness is achieved by applying DCT to specific wavelet sub-bands and then factorizing each quadrant of frequency sub-band using singular value decomposition. Watermark is embedded in host image by modifying singular values of host image. Performance of this technique is then compared by replacing DCT by Wal...

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

Biometric recognition refers to the use of biological characteristics for identification and verification of individuals. Use of biometric is increasing nowadays because biometric characteristics are difficult to replicate and lifelong. Applications which require only the authorized persons to access the resources are information systems, National id systems, voter and driver registrations, doc...

The discrete wavelet transform (DWT) is incorporated into the JPEG baseline system for image coding. The discrete cosine transform (DCT) is replaced by an association of two-channel filter banks connected hierarchically. JPEG block-scanning and quantization schemes are adopted while we use JPEG’s entropy coder. The changes in scanning can be incorporated into the transform block in such a way t...

This paper describes a computationally efficient hybrid video coding scheme. The proposed hybrid coding scheme combines the advantages of simple hardware complexity of the 3-D discrete cosine transform coding and the high performance of the 3-D set partitioning in hierarchical tree (3-D SPIHT) coding. The modification of the subband video data in the wavelet domain is done based on the DCT tran...

The wireless sensor network utilizes image compression algorithms like JPEG, JPEG2000, and SPIHT for image transmission with high coding efficiency. During compression, discrete cosine transform (DCT)–based JPEG has blocking artifacts at low bit-rates. But this effect is reduced by discrete wavelet transform (DWT)–based JPEG2000 and SPIHT algorithm but it possess high computational complexity. ...

A wavelet coding method for image data on arbitrarily shaped support applicable to the object-oriented coding of moving pictures, and to the efficient representation of texture data in computer graphics is proposed. Wavelet transform of arbitrarily shaped image is obtained by applying symmetrical extension technique at region boundaries and keeping the location of wavelet coefficient. For the e...

-Steganography method used in this paper is based on biometrics. And the biometric feature used to implement steganography is skin tone region of images. Here secret data is embedded within skin region of image that will provide an excellent secure location for data hiding. For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space. Additionally secret data embe...

Medical image denoising is the main step in medical diagnosis, which removes the noise without affecting relevant features of the image. There are many algorithms that can be used to reduce the noise such as: threshold and the sparse representation. The K-SVD is one of the most popular sparse representation algorithms, which is depend on Orthogonal Matching Pursuit (OMP) and Discrete Cosine Tra...

This work is about applying wavelet-based approximation and estimation techniques to non-stationary nancial time series for modeling stock index return volatility. The presence of various forms of dependence requires a careful analysis, particularly when dealing with very high frequencies and with periodic components. One important goal is achieving sparse signal decompositions, by the means of...