[[abstract]]Wavelets are being used in a number of different applications such as image enlargement and image compression. In order to benefit both applications, we propose a method to estimate the high pass output from the low pass one. Using the predicted high pass output, we would be able to enlarge an image superior to other compared interpolation methods in many situations. Moreover, we utilize the predicted sub-band for a wavelet image coder. It is shown that by using this proposed method we can profit both image enlargement and its compression.[[fileno]]2030101030016[[department]]電機工程學
Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity a...
Image Super Resolution (SR) has become a very gripping and predominant area of research to overcome ...
We describe a new filtering approach in the wavelet domain for image denoising and compression, base...
High resolution images are always desired as they contain the more information and they can better r...
This paper investigates the use of interband pre-diction to improve compression by predicting color ...
In this project a wavelet based interpolation algorithm aimed to deal with 1-dimensional non-uniform...
In this paper, we present nonlinear interpolation schemes for image resolution enhancement. The Mult...
Wavelet transform based images resolution im-provement is new technique in which all low and high fr...
The focus of this thesis is to explore the structure present in the wavelet decomposition of natural...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
A wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail w...
AbstractIn this note, we present a construction of interpolatory wavelet packets. Interpolatory wave...
In this note, we present a construction of interpolatory wavelet packets. Interpolatory wavelet pack...
[[abstract]]Wavelet transform can decompose images into various multiresolution subbands. In these s...
The increase in demand and performance of personal computing digital image processing is widely bein...
Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity a...
Image Super Resolution (SR) has become a very gripping and predominant area of research to overcome ...
We describe a new filtering approach in the wavelet domain for image denoising and compression, base...
High resolution images are always desired as they contain the more information and they can better r...
This paper investigates the use of interband pre-diction to improve compression by predicting color ...
In this project a wavelet based interpolation algorithm aimed to deal with 1-dimensional non-uniform...
In this paper, we present nonlinear interpolation schemes for image resolution enhancement. The Mult...
Wavelet transform based images resolution im-provement is new technique in which all low and high fr...
The focus of this thesis is to explore the structure present in the wavelet decomposition of natural...
This paper presents image compression with wavelet based method. The wavelet transformation divides ...
A wavelet-domain image resolution enhancement algorithm which is based on the estimation of detail w...
AbstractIn this note, we present a construction of interpolatory wavelet packets. Interpolatory wave...
In this note, we present a construction of interpolatory wavelet packets. Interpolatory wavelet pack...
[[abstract]]Wavelet transform can decompose images into various multiresolution subbands. In these s...
The increase in demand and performance of personal computing digital image processing is widely bein...
Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity a...
Image Super Resolution (SR) has become a very gripping and predominant area of research to overcome ...
We describe a new filtering approach in the wavelet domain for image denoising and compression, base...