We present a new shape descriptor that are robust to deformation and capture part details. In our framework, the shape descriptor is generated by 1) using running angle to transforming a shape into a 2-D description image in the position and scale space. 2) performing circular wavelet-like sub-band decomposition of this 2-D description image based on its periodic convolution with orthogonal ker...

With the exponential growth of digital materials in this age, the protection of Intellectual Property Right (IPR) becomes an important and urgent topic. In this paper, we propose a novel digital watermarking scheme based on the Singular Value Decomposition (SVD) method and the Distributed Discrete Wavelet Transformation (DDWT) method. Our scheme transforms original image data from the spatial d...

Human iris is one of the most reliable biometric because of its uniqueness, stability and noninvasive nature. Thus it has attracted the attention of biometrics based identification and verification research and development community. In this paper, a new approach of iris image feature extraction technique based on the statistical properties of Discrete Cosine Transform (DCT) domain is proposed....

We propose a newmethod for digital watermarking of images based on Fractal Image Coding using Ridgelet Transform and Discrete wavelet transform (DWT). The method takes Ridgelet transform of the image to get a transformed image and performs 2-level Discrete Wavelet Transform(DWT) on the transformed image to get low frequency sub-bands LL2 and LL1. LL1 is used for range blocks and LL2 is treated ...

The large amount of image collections available from a variety of sources has posed increasing technical challenges to computer systems to store/transmit and index/manage the image data to make such collections easily accessible. Here to search and retrieve the expected images from the database we need Content Based Image Retrieval system. This paper proposes a new feature vector based on 2D Du...

The essential performance metrics of a robust watermark include robustness, imperceptibility, watermark capacity and security. In addition, computational cost is important for practicality. Wavelet-based image watermarking methods exploit the frequency information and spatial information of the transformed data in multiple resolutions to gain robustness. Although the Human Visual System (HVS) m...

Image Denoising has remained a fundamental problem in the field of image processing. It still remains a challenge for researchers because noise removal introduces artifacts and causes blurring of the images. In the existing system the signal denoising is performed using neighbouring wavelet coefficients. The standard discrete wavelet transform is not shift invariant due to decimation operation....

This paper describes an efficient electrocardiogram (ECG) signal compression technique based on the combination of wavelet transform and thresholding of the wavelet coefficients according to their energy compaction properties in different sub bands to achieve high compression ratio (CR) with low percent root mean square difference (PRD). First, the ECG signal is wavelet transformed using differ...

9 Both pixel-based scale saliency (PSS) and basis project methods focus on multiscale analysis of data content and structure. Their theoretical relations and practical combination are previously discussed. However, no models have ever been proposed for calculating scale saliency on basis-projected descriptors since then. This paper extend those ideas into mathematical models and implement them ...

In Image Compression, the researchers’ aim is to reduce the number of bits required to represent an image by removing the spatial and spectral redundancies. Recently discrete wavelet transform and wavelet packet has emerged as popular techniques for image compression. The wavelet transform is one of the major processing components of image compression. The result of the compression changes as p...