44 citations · 70 across the 11 of their papers we have counts for
11 papers
Color Learning for Image Compression
Srivatsa Prativadibhayankaram, Thomas Richter, Heiko Sparenberg +1
Deep learning based image compression has gained a lot of momentum in recent times. To enable a method that is suitable for image compression and subsequently extended to video com…
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…
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…
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…