8 citations · 11 across the 10 of their papers we have counts for
10 papers
Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting
Wolfgang Schnurrer, Niklas Pallast, Thomas Richter +1
Due to their high resolution, dynamic medical 2D+t and 3D+t volumes from computed tomography (CT) and magnetic resonance tomography (MR) reach a size which makes them very unhandy…
Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data
Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler +1
Factorized in the lifting structure, the wavelet transform can easily be extended by arbitrary compensation methods. Thereby, the transform can be adapted to displacements in the s…
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
Wolfgang Schnurrer, Markus Jonscher, Jürgen Seiler +3
Lost image areas with different size and arbitrary shape can occur in many scenarios such as error-prone communication, depth-based image rendering or motion compensated wavelet li…
Analysis of displacement compensation methods for wavelet lifting of medical 3-D thorax CT volume data
Wolfgang Schnurrer, Jürgen Seiler, Eugen Wige +1
A huge advantage of the wavelet transform in image and video compression is its scalability. Wavelet-based coding of medical computed tomography (CT) data becomes more and more pop…
Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000
Wolfgang Schnurrer, Tobias Tröger, Thomas Richter +2
Lossless image coding is a crucial task especially in the medical area, e.g., for volumes from Computed Tomography or Magnetic Resonance Tomography. Besides lossless coding, compen…
On the influence of clipping in lossless predictive and wavelet coding of noisy images
Wolfgang Schnurrer, Jürgen Seiler, Michael Schöberl +1
Especially in lossless image coding the obtainable compression ratio strongly depends on the amount of noise included in the data as all noise has to be coded, too. Different appro…
Improving block-based compensated wavelet lifting by reconstructing unconnected pixels
Wolfgang Schnurrer, Jürgen Seiler, André Kaup
This paper presents a new approach for improving the visual quality of the lowpass band of a compensated wavelet transform. A high quality of the lowpass band is very important as…
3-D mesh compensated wavelet lifting for 3-D+t medical CT data
Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler +2
For scalable coding, a high quality of the lowpass band of a wavelet transform is crucial when it is used as a downscaled version of the original signal. However, blur and motion c…
Optimized processing order for 3D hole filling in video sequences using frequency selective extrapolation
Jürgen Seiler, Susanne Schöll, Wolfgang Schnurrer +1
A problem often arising in video communication is the reconstruction of missing or distorted areas in a video sequence. Such holes of unavailable pixels may be caused for example b…
Reconstruction of Videos Taken by a Non-Regular Sampling Sensor
Markus Jonscher, Jürgen Seiler, Michel Bätz +3
Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor. The main idea has been that a low resolution sensor is cover…