Binomial filters

The Binomial QMF-Wavelet Transform for Multiresolution Signa - Signal Processing, IEEE Transactions on

This paper describes a class of orthogonal binomial filters that provide a set of basis functions for a bank of perfect reconstruction (PR) finite impulse response quadrature mirror filters (FIR QMF). These binomial QMF’s are shown to be the same filters as those derived from a discrete orthonormal wavelet transform approach by Daubechies. These filters are the unique maximally flat magnitude s...

PERFECT RECONSTRUCTION BINOMIAL QMF - WAvELET TRANSFORM Au

Abstract This paper describes a class of orthogonal binomial filters which provide a set of basis functions for a bank of perfect reconstruction Finite Impulse Response Quadrature Mirror Filters (FIR-QMF). These Binomial QMFs are shown to be the same filters as those derived from a discrete orthonormal wavelet approach by Daubechies [13]. The proposed filters can be implemented very efficiently...

Image Downsampling and Upsampling Methods

Downsampling and upsampling are widely used in image display, compression, and progressive transmission. In this paper we examine new down/upsampling methods using frequency response analysis and experimental evaluation. We consider six classes of filters for down/upsampling: decimation/duplication, bilinear interpolation, least-squares filters, orthogonal wavelets, biorthogonal wavelets, and a...

BBFHE: Block-based Binomial Filtering Histogram Equalization

Histogram equalization is an efficient contrast enhancement algorithm. Global equalization is effective, but enhances only overall contrast, while local histogram equalization is more powerful, but computationally expensive. In this paper, a Block-based Binomial Filtered Histogram Equalization (BBFHE) algorithm is presented. The image is divided into blocks, and for each block a histogram is ob...

A class of fast Gaussian binomial filters for speech and image processing