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Found 8 papers, 0 papers with code
Graph-Based Compensated Wavelet Lifting for Scalable Lossless Coding of Dynamic Medical Data
This work focuses on coding these adjacency matrices to make the graph-based motion compensation feasible for data compression.
Scalable Lossless Coding of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Prediction and Update
To improve the visual quality of the lowpass subband, motion compensation can be incorporated into the lifting structure, but leads to inferior compression results at the same time.
Compression of Dynamic Medical CT Data Using Motion Compensated Wavelet Lifting with Denoised Update
For the lossless compression of dynamic 3-D+t volumes as produced by medical devices like Computed Tomography, various coding schemes can be applied.
Optimizing Rate-Distortion Performance of Motion Compensated Wavelet Lifting with Denoised Prediction and Update
Additionally, the similarity of the temporal base layer to the input sequence is preserved by the use of motion compensated temporal filtering.
Content Adaptive Wavelet Lifting for Scalable Lossless Video Coding
Wavelet-based video coding decomposes an input sequence into a lowpass and a highpass subband by filtering along the temporal axis.
Graph-based compensated wavelet lifting for 3-D+t medical CT data
An efficient scalable data representation is an important task especially in the medical area, e. g. for volumes from Computed Tomography (CT) or Magnetic Resonance Tomography (MRT), when a downscaled version of the original signal is needed.
Improving mesh-based motion compensation by using edge adaptive graph-based compensated wavelet lifting for medical data sets
Medical applications like Computed Tomography (CT) or Magnetic Resonance Tomography (MRT) often require an efficient scalable representation of their huge output volumes in the further processing chain of medical routine.
Dynamic Non-Regular Sampling Sensor Using Frequency Selective Reconstruction
The main benefit of the proposed dynamic readout is that for each frame, different sampling points are available which is advantageous since this information can significantly enhance the reconstruction quality of the proposed reconstruction algorithm.
