In the production of medical images, noise reduction and contrast enhancement are important methods to increase qualities of processing results. Wavelet transforms have shown promising results for localization in both time and frequency, and hence have been used for image processing applications including noise removal. By using the edge-based denoising and adaptive nonlinear histogram stretchi...

An image compression method combining discrete wavelet transform (DWT) and vector quantization (VQ) is presented. First, a three-level DWT is performed on the original image resulting in ten separate sub bands. These sub bands are then vector quantized. VQ indices are Huffman coded to increase the compression ratio. Lloyd extended scalar quantization technique is used to design memory less vect...

Real time image processing should have high quality results at lesser computational time. A spatial image denoising method using 2D discrete wavelet transform (2D DWT) and Stationary wavelet transform (SWT) is presented in this paper for high quality image results. DWT gives high quality output at low levels of noise at relatively lesser time consumption where as it suffers from translation inv...

In this paper, we present a new method based on wavelet-medianmoments and a novel idea of angle projection for detecting multioriented text in video. The proposed method uses wavelet decomposition first to obtain three high frequency sub-bands (LH, HL and HH) and then median central moments are computed on the average sub-bands of the three high frequency sub-bands to brighten the text pixels. ...

This paper presents a new adaptive fuzzy wavelet network controller (A-FWNC) for control of nonlinear affine systems, inspired by the theory of multiresolution analysis (MRA) of wavelet transforms and fuzzy concepts. The proposed adaptive gain controller, which results from the direct adaptive approach, has the ability to tune the adaptation parameter in the THEN-part of each fuzzy rule during ...

In the context of subband processing of finite-length signals using FIR filter banks, a new technique is derived for achieving exact reconstruction when subband signals are truncated to the same number of samples as the original signal. Using a delayed truncation method in the subbands, it is shown that the missing samples can be recovered exactly by inverting small linear systems. Our approach...

In the following paper we describe a new generic method to find an approximate solution for the volume rendering equation using hierarchical, orthonormal wavelet basis functions. The approach is based on the idea that an initial volume data set can be decomposed into a pyramidal representation by means of a 3D wavelet transform. Once the wavelet function is described analytically, it is possibl...

A complete factorization of all optimal (in terms of quick transition) time-varying FIR unitary lter bank tree topologies is obtained. This has applications in adaptive subband coding, tiling of the time-frequency plane and the construction of orthonormal wavelet bases for the half-line and interval 9, 8, 13, 2]. A simple eecient implementation algorithm also comes with the factorization ensuri...

Medical imaging techniques produce prohibitive amounts of digitized clinical data. Compression of medical images is a must due to large memory space required for transmission and storage. This paper presents an effective algorithm to compress and to reconstruct medical images. The proposed algorithm first extracts edge information of medical images by using fuzzy edge detector. The images are d...

This paper presents the application of covariance and Enhanced Normalized Cross Correlation (ENCC) algorithm in a multi-wavelet based stereo correspondence matching. A balanced multi-wavelet transform is applied to a pair of stereo images de-correlating each input image into its multiwavelet’s sub-bands. The resulting four multi-wavelet basebands of each view are then used to calculate the disp...