Automatic human iris verification is an active research area with numerous applications in security purposes. Unfortunately, most of feature extraction methods in human iris verification systems are sensitive to noise, scale and rotation. This paper proposes an integrated hybrid model among Discrete Wavelet Transform, Wavelet Neural Network and Genetic Algorithms for optimizing the feature extr...

Nonlinear diffusion, proposed by Perona and Malik, is a well­known method for image denoising with edge preserving characteristics. Recently, nonlinear diffusion has been shown to be equivalent to iterative wavelet shrinkage, but only for (1) Mallat­Zhong dyadic wavelet transform and (2) Haar wavelet transform. In this paper, we generalize the equivalence of nonlinea...

In This paper, the bit error rate analysis (BER) and peak signal to noise ratio performance (PSNR) of discrete wavelet transform (DWT)-OFDM system is compared with conventional fast fourier transform (FFT)-OFDM system for colour image transmission, here we use different error correcting codes like Reed Solomon codes, low density parity check codes (LDPC). The transmitted colour image is found t...

This paper presents a new spread-spectrum watermarking algorithm for digital images in discrete wavelet transform (DWT) domain. The algorithm is applied for embedding watermarks like patient identification /source identification or doctors signature in binary image format into host digital radiological image for potential telemedicine applications. Performance of the algorithm is analysed by va...

This talk concerns about mathematical mechanism for transmission error concealment. The previous methods involve concealing the transmission error for DCT (Discrete Cosine Transform) based compression line (e.g. MPEG and JEPG adopted by ISO/IEC). In this talk, we consider the mechanism to recover the transmission error of DWT(Discrete Wavelet Transform) based compression process. Also operation...

Discrete Wavelet Transform (DWT) is a recent and powerful mathematical tool which has stimulated many developments in several scientific and technical fields, particularly in signal and image processing. Its multiresolution properties are a major advantage. However, in video coding, motion management using DWT is a major challenge due to the DWT decomposition algorithms which does not preserve ...

Symmetric filters and symmetric extension of image edges have been widely used in wavelet image compression. Since the filters are symmetric, it is possible to take advantage of the symmetric property to reduce the computational complexity for the filtering. In this paper, we present a fast convolution algorithm for the discrete wavelet transform (DWT) and the inverse DWT (IDWT) such that the t...

In this paper, we present two feature extraction techniques for the classification of ultrasonic NDE signals acquired from weld inspection regions of boiling water reactor piping of nuclear power plants. The classification system consists of a pre-processing block that extracts features from the incoming patterns, and of an artificial neural network that assigns the computed features to a parti...

The wavelet transform has itself a useful tool in the field of 1-dimensional and 2-dimensional signal compression systems. Due to the growing importance of this technique, there is an increasing need in many working groups for having a development environment which could be flexible enough and where the performance of a specific architecture could be measured, closer to reality rather than in a...

This paper proposes a pyramid-wavelet watermarking scheme for ownership verification of digital images. The discrete wavelet transform (DWT) has been used extensively in recent years in watermarking systems. It provides the necessary perceptual invisibility and robustness. In this paper, a pre-DWT process is implemented using optimal pyramid transform (OPT), where one of the error images that a...