Multirate Gaussian scale-space filtering
نویسنده
چکیده
This paper proposes multirate signal processing methods for realizing Gaussian scale-space filtering. We introduce new computatiolly efficient interpolated Gaussian scale-space filters. Also, the use of decimators together with interpolated Gaussian filters is considered. The proposed filtering methods require dramatically less computation than conventional Gaussian scale-space filtering especially in cases where the scale changes with an integer factor. The new filters are extremely efficient when the change in scale is an integer power of two. However, also more complex scaling factors such as V2 can be efficiently realized.
منابع مشابه
Title Multirate Kalman filtering approach for optimal two-dimensional signal reconstruction from noisy subband systems
Conventional synthesis filters in subband systems lose their optimality when additive noise due, for example, to signal quantization, disturbs the subband components. The multichannel representation of subband signal is combined with the statistical model of input signal to derive the multirate state-space model for filter bank system with additive noises. Thus the signal reconstruction problem...
متن کاملA Novel Multirate Weighted Fir Filter Design Using Vlsi
A new class of FIR filtering algorithms and VLSI architectures based on the multirate approach were recently proposed. They reduce the computational complexity in FIR filtering, and also retain attractive implementation related properties such as regularity and multiply-and-accumulate (MAC) structure. In addition, the multirate feature can be applied to low-power/high-speed VLSI implementation....
متن کاملMixed H2/H∞ filtering design in multirate transmultiplexer systems: LMI approach
In this study, a mixed 2 filter design is proposed for multirate transmultiplexer systems with dispersive channel and additive noise. First, a multirate state-space representation is introduced for the transmultiplexer with the consideration of channel dispersion. Then, the problem of signal reconstruction can be regarded as a state estimation problem. In order to design an efficient separating...
متن کاملXY-Separable Scale-Space Filtering by Polynomial Representations and Its Applications
In this paper, we propose the application of principal component analysis (PCA) to scale-spaces. PCA is a standard method used in computer vision. Because the translation of an input image into scalespace is a continuous operation, it requires the extension of conventional finite matrix-based PCA to an infinite number of dimensions. Here, we use spectral theory to resolve this infinite eigenval...
متن کاملTheoretical Foundations of Gaussian Convolution by Extended Box Filtering
Gaussian convolution is of fundamental importance in linear scale-space theory and in numerous applications. We introduce iterated extended box filtering as an efficient and highly accurate way to compute Gaussian convolution. Extended box filtering approximates a continuous box filter of arbitrary non-integer standard deviation. It provides a much better approximation to Gaussian convolution t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 1989