Linear filter banks with critical subsampling and perfect reconstruction (PR) property have received much interest and found numerous applications in signal and image processing. Recently, nonlinear filter bank structures with PR and critical subsampling have been proposed and used in image coding. In this paper, it is shown that PR nonlinear subband decomposition can be performed using the Gallois Field (GF) arithmetic. The result of the decomposition of an n-ary (e.g. 256-ary) input signal is still n-ary at different resolutions. This decomposition structure can be utilized for binary and 2k (k is an integer) level signal decompositions. Simulation studies are presented
This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our app...
Biorthogonal wavelets or filterbanks are shown to be superior in coding gain performance to orthogon...
Linear transforms are the basis for many techniques used in image processing, image analysis, and im...
Cataloged from PDF version of article.In this paper, perfect reconstruction filter bank structures f...
Subband decomposition techniques have been extensively used for data coding and analysis. In most fi...
Subband decomposition techniques have been extensively used for data coding and analysis. In most fi...
Subband decomposition is widely used in signal processing applications including image and speech co...
This paper presents a novel image coding scheme based on optimal filter design for subband coding fo...
This correspondence presents a new factorization for linearphase biorthogonal perfect reconstruction...
In this paper a binary waveform coding method based on morphological subband decomposition coupled w...
Cataloged from PDF version of article.In this paper, a new class of block transforms is presented. ...
In this paper, a new class of block transforms is presented. These transforms are constructed from s...
We present a morphological filter for lossless image subsampling for a given downsampling-upsampling...
In [1], image adaptive linear minimum mean squared error (LMMSE) filtering was proposed as an enhanc...
In this paper, compression of binary digital fingerprint images is considered. High compression rati...
This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our app...
Biorthogonal wavelets or filterbanks are shown to be superior in coding gain performance to orthogon...
Linear transforms are the basis for many techniques used in image processing, image analysis, and im...
Cataloged from PDF version of article.In this paper, perfect reconstruction filter bank structures f...
Subband decomposition techniques have been extensively used for data coding and analysis. In most fi...
Subband decomposition techniques have been extensively used for data coding and analysis. In most fi...
Subband decomposition is widely used in signal processing applications including image and speech co...
This paper presents a novel image coding scheme based on optimal filter design for subband coding fo...
This correspondence presents a new factorization for linearphase biorthogonal perfect reconstruction...
In this paper a binary waveform coding method based on morphological subband decomposition coupled w...
Cataloged from PDF version of article.In this paper, a new class of block transforms is presented. ...
In this paper, a new class of block transforms is presented. These transforms are constructed from s...
We present a morphological filter for lossless image subsampling for a given downsampling-upsampling...
In [1], image adaptive linear minimum mean squared error (LMMSE) filtering was proposed as an enhanc...
In this paper, compression of binary digital fingerprint images is considered. High compression rati...
This paper addresses the numerical efficiency of adaptive filtering implemented in subbands. Our app...
Biorthogonal wavelets or filterbanks are shown to be superior in coding gain performance to orthogon...
Linear transforms are the basis for many techniques used in image processing, image analysis, and im...