Iris recognition is one of the challenging problems inhuman computer interaction. An automated iris recognition system requires an efficient method for classification of iris region in the face sequence, extraction of iris features, and construction of classification model. In recent years, Neural Networks (NN) has demonstrated excellent performance in a variety of classification problems. In t...

The dual-tree complex wavelet transform (DTCWT) is a relatively recent enhancement to the discrete wavelet transform (DWT), with beneficial properties such as shift invariant, good directionality, perfect reconstruction. These properties are well utilized to obtain improved robustness and perceptibility. Principle component analysis is used as a predictive model and is an excellent technique fo...

This letter addresses the problem of generating a super-resolution (SR) image from a single lowresolution (LR) input image in the wavelet domain. To achieve a sharper image, an intermediate stage for estimating the highfrequency (HF) sub bands has been proposed. This stage includes an edge preservation procedure and mutual interpolation between the input LR image and the HF sub band images, as ...

Image compression is backbone in the field of communications and multimedia. The objective of Image compression is to minimize the size in bytes of a file by reducing the redundancy of the image data without degrading the quality of image, resulting in reduction of file size so that more images can be stored in a given amount of disk or memory space and also reduces the time required to send th...

One of the efficient solutions for data transmission and storage of huge remote sensing images is the high-fidelity and rapid compression. The hybrid algorithms based on fractal coding and wavelet transformation have already been developed and are becoming very popular at present. In this paper, an improved method of remote sensing image compression based on fractal coding and wavelet domain is...

It has been observed that the fatigueless estimation is based on facial geometric features. However, the geometric features are very often prone to vary to a great extent if the facial pose changes slightly. And the results may be completely 1800 out of phase as that of the desired one. The said problem may be thought of analysis of driver’s facial expression in wavelet domain using entropy of ...

The details of an image with noise may be restored by removing noise through a suitable image de-noising method. In this research, a new method of image de-noising based on using median filter (MF) in the wavelet domain is proposed and tested. Various types of wavelet transform filters are used in conjunction with median filter in experimenting with the proposed approach in order to obtain bett...

Efficient compression algorithms generally use wavelet transforms. They try to exploit all the signal dependencies that can appear inside and across the different sub-bands of the decomposition. This provides highly complex algorithms that can’t generally be implemented for real-time purposes. However, efficiency of a coding scheme highly depends on bit allocation. In this paper, we present a n...

In this paper we introduce a new public digital watermarking technique for video copyright protection working in the Discrete Wavelet Transform domain. The scheme uses binary images as watermarks. These are embedded in the detail wavelet coefficients of the middle Wavelet sub-bands. The method is a combination of spread spectrum and quantization based watermarking. Every bit of the watermark is...

This paper presents image compression with wavelet based method. The wavelet transformation divides image to lowand high pass filtered parts. The traditional JPEG compression technique requires lower computation power with feasible losses, when only compression is needed. However, there is obvious need for wavelet based methods in certain circumstances. The methods are intended to the applicati...