The goal of the presented work is to apply a directionally-adaptive two-dimensional separable wavelet transform, called directionlets, in common wavelet-based video coders. So far, directionlets have been used only in still image coding, where they have provided a sparser representation of images in the transform domain and a better compression performance. We apply directionlets to frames of video sequences in the video coding scheme based on the Dirac video codec. The novel method outperforms the traditional non-adaptive method based on the standard wavelet transform in terms of both the rate-distortion performance and the visual quality of reconstructed sequence
Abstract—Adaptive directional wavelet transform is an effective al-ternative of the traditional 2-D ...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms w...
The goal of the presented work is to apply a directionally-adaptive two-dimensional separable wavele...
The goal of the presented work is to apply a directionally-adaptive two-dimensional separable wavele...
Directionlets allow a construction of perfect reconstruction and critically sampled multidirectional...
The direction-adaptive discrete wavelet transform (DA-DWT) locally adapts the filtering direction to...
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great su...
Various directional transforms have been developed recently to improve image compression. In video c...
The application of the wavelet transform in image processing is most frequently based on a separable...
We present a novel directionally adaptive image interpolation based on a multiple-direction wavelet ...
The application of the wavelet transform in image processing is most frequently based on a separable...
Despite the success of the standard wavelet transform (WT) in image processing in recent years, the ...
The first part of this thesis studies advanced wavelet transform techniques for scalable still image...
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great su...
Abstract—Adaptive directional wavelet transform is an effective al-ternative of the traditional 2-D ...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms w...
The goal of the presented work is to apply a directionally-adaptive two-dimensional separable wavele...
The goal of the presented work is to apply a directionally-adaptive two-dimensional separable wavele...
Directionlets allow a construction of perfect reconstruction and critically sampled multidirectional...
The direction-adaptive discrete wavelet transform (DA-DWT) locally adapts the filtering direction to...
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great su...
Various directional transforms have been developed recently to improve image compression. In video c...
The application of the wavelet transform in image processing is most frequently based on a separable...
We present a novel directionally adaptive image interpolation based on a multiple-direction wavelet ...
The application of the wavelet transform in image processing is most frequently based on a separable...
Despite the success of the standard wavelet transform (WT) in image processing in recent years, the ...
The first part of this thesis studies advanced wavelet transform techniques for scalable still image...
The standard separable two-dimensional (2-D) wavelet transform (WT) has recently achieved a great su...
Abstract—Adaptive directional wavelet transform is an effective al-ternative of the traditional 2-D ...
In this dissertation, we investigate the design of image and video compression algorithms by using a...
Directionlets are built as basis functions of critically sampled perfect-reconstruction transforms w...