A wide class of operations on images can be performed directly in the wavelet domain by operating on coefficients of the wavelet transforms of the images and other matrices defined by the operation. Operating in the wavelet domain enables to perform these operations progressively in a coarse-to-fine fashion, to operate on different resolutions, manipulate features at different scales, and to localize the operation in both the spatial and the frequency domains. Performing such operations in the wavelet domain and then reconstructing the result is more efficient than performing the same operation in the standard direct fashion and reduces the memory footprint
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...
An efficient algorithm for image segmentation based on a multi-resolution application of a wavelets ...
The reconstruction of images from projections, diffraction fields, or other similar measurements req...
A wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail w...
A wavelet domain image resolution enhancement method is proposed. The method adopts the cycle-spinni...
The aim of this research project is to investigate the possibility of establishing a general framewo...
Multi-resolution techniques, and especially the wavelet transform provide unique benefits in image r...
Medical imaging analysis such as diagnosis of mammography frequently requires advanced image process...
on, computer vision researchers have realized that multiscale transforms are important to analyze th...
Wavelet algorithms allow considerably higher compression rates compared to Fourier transform based m...
The increase in demand and performance of personal computing digital image processing is widely bein...
This paper represents an approach to implement image resolution enhancement i.e. Stationary wavelet ...
Wavelet algorithms allow considerably higher compression rates compared to Fourier transform based m...
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...
An efficient algorithm for image segmentation based on a multi-resolution application of a wavelets ...
The reconstruction of images from projections, diffraction fields, or other similar measurements req...
A wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail w...
A wavelet domain image resolution enhancement method is proposed. The method adopts the cycle-spinni...
The aim of this research project is to investigate the possibility of establishing a general framewo...
Multi-resolution techniques, and especially the wavelet transform provide unique benefits in image r...
Medical imaging analysis such as diagnosis of mammography frequently requires advanced image process...
on, computer vision researchers have realized that multiscale transforms are important to analyze th...
Wavelet algorithms allow considerably higher compression rates compared to Fourier transform based m...
The increase in demand and performance of personal computing digital image processing is widely bein...
This paper represents an approach to implement image resolution enhancement i.e. Stationary wavelet ...
Wavelet algorithms allow considerably higher compression rates compared to Fourier transform based m...
It is now well admitted in the computer vision literature that a multi-resolution decomposition prov...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...
Resolution enhancement of pictorial data is desirable in many applications such as monitoring, surve...