no code implementations • 1 Mar 2023 • Wolfgang Schnurrer, Niklas Pallast, Thomas Richter, André Kaup
We propose an approach based on compensated wavelet lifting for obtaining a scalable representation of dynamic CT and MR volumes with very high quality.
no code implementations • 3 Feb 2023 • Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler, André Kaup
Factorized in the lifting structure, the wavelet transform can easily be extended by arbitrary compensation methods.
no code implementations • 12 Jan 2023 • Wolfgang Schnurrer, Markus Jonscher, Jürgen Seiler, Thomas Richter, Michel Bätz, André Kaup
To enlarge the test set for evaluation we further propose a method to generate arbitrarily shaped lost areas.
no code implementations • 11 Jan 2023 • Wolfgang Schnurrer, Jürgen Seiler, Eugen Wige, André Kaup
A huge advantage of the wavelet transform in image and video compression is its scalability.
no code implementations • 11 Jan 2023 • Wolfgang Schnurrer, Tobias Tröger, Thomas Richter, Jürgen Seiler, André Kaup
Lossless image coding is a crucial task especially in the medical area, e. g., for volumes from Computed Tomography or Magnetic Resonance Tomography.
no code implementations • 11 Jan 2023 • Wolfgang Schnurrer, Jürgen Seiler, Michael Schöberl, André Kaup
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.
no code implementations • 8 Dec 2022 • 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.
no code implementations • 8 Dec 2022 • Wolfgang Schnurrer, Thomas Richter, Jürgen Seiler, Christian Herglotz, André Kaup
We show that a 3-D mesh can obtain a higher quality of the lowpass band by 0. 28 dB with less than 40% of the model parameters of a comparable 2-D mesh.
no code implementations • 20 Jul 2022 • Jürgen Seiler, Susanne Schöll, Wolfgang Schnurrer, André Kaup
A problem often arising in video communication is the reconstruction of missing or distorted areas in a video sequence.
no code implementations • 7 Apr 2022 • Markus Jonscher, Jürgen Seiler, Michel Bätz, Thomas Richter, Wolfgang Schnurrer, André Kaup
Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor.