This paper compares the performance of face image retrieval system based on discrete wavelet transforms and Lifting wavelet transforms with principal component analysis (PCA). These techniques are implemented and their performances are investigated using frontal facial images from the ORL database. The Discrete Wavelet Transform is effective in representing image features and is suitable in Fac...

The computation complexity dominates Continuous Wavelet Transform (CWT) and the low frequency resolution limit the Discrete Wavelet Transform (DWT). The degradation in frequency resolution in Discrete Wavelet Transform (DWT) is due to the fact, that, DWT decomposes only the approximation coefficients at each level. This detail is not enough to analyse the signal like knock in the engine. The ac...

This study presents a framework for gray texture classification based on wavelet and curvelet features. The two main frequency domain transformations Discrete Wavelet Transform (DWT) and Discrete Curvelet Transform (DCT) are analyzed. The features are extracted from the DWT and DCT decomposed image separately and their performances are evaluated independently. The performance metric used to ana...

Discrete wavelet transform (DWT) is the one of the main approaches used for image compression. A new discrete wavelet transform (DWT) architecture is proposed in this paper to realize a memory-efficient 2D DWT unit. The main goal of the proposed system is to change the processing unit in the pipelined DWT. Processing unit is modified in such a way that total number of processing required in the...

Image compression is a key technology in transmission and storage of digital images because of vast data associated with them. This research suggests a new image compression scheme with pruning proposal based on discrete wavelet transformation (DWT). The effectiveness of the algorithm has been justified over some real images, and the performance of the algorithm has been compared with other com...

This paper scrutinize image quality assessment emanate from discrete wavelet transform. Image quality assessment endeavor to procure visual quality metric dovetail deftly with human visual cognizance. Full reference IQA technique juxtaposes a reference and distorted image and prognosticate ocular quality. This technique schleps out by discerning contrariety between empirical score with image im...

Image compression is the application of Data compression on digital images. A fundamental shift in the image compression approach came after the Discrete Wavelet Transform (DWT) became popular. To overcome the inefficiencies in the JPEG standard and serve emerging areas of mobile and Internet communications, the new JPEG2000 standard has been developed based on the principles of DWT. In this re...

In this paper, contrast enhancement of dark image using Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) coefficients is proposed. Then the contrast enhancement is obtained by applying Dynamic Stochastic Resonance (DSR).The goal of dark image enhancement is to clearly visualize the features of the image. Two different coefficients DCTand DWT are used for implementing contras...

In recent years, the Discrete Wavelet Transform (DWT) has become a powerful tool in many areas, such as image compression and analysis, texture discrimination, fractal analysis, pattern recognition and so on. Due to the localization property both in time and frequency domain, wavelet transform is more efficient than Short Time Fourier Transform (STFT) or Discrete Cosine Transform (DCT) in de-co...