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Found 13 papers, 1 papers with code
SLIC: A Learned Image Codec Using Structure and Color
We propose the structure and color based learned image codec (SLIC) in which the task of compression is split into that of luminance and chrominance.
Color Learning for Image Compression
To enable a method that is suitable for image compression and subsequently extended to video compression, we propose a novel deep learning model architecture, where the task of image compression is divided into two sub-tasks, learning structural information from luminance channel and color from chrominance channels.
Temporal Scalability of Dynamic Volume Data Using Mesh Compensated Wavelet Lifting
We propose an approach based on compensated wavelet lifting for obtaining a scalable representation of dynamic CT and MR volumes with very high quality.
Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+t CT data
Factorized in the lifting structure, the wavelet transform can easily be extended by arbitrary compensation methods.
Centroid adapted frequency selective extrapolation for reconstruction of lost image areas
To enlarge the test set for evaluation we further propose a method to generate arbitrarily shaped lost areas.
Efficient lossless coding of highpass bands from block-based motion compensated wavelet lifting using JPEG 2000
Lossless image coding is a crucial task especially in the medical area, e. g., for volumes from Computed Tomography or Magnetic Resonance Tomography.
3-D mesh compensated wavelet lifting for 3-D+t medical CT data
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.
Spatio-temporal prediction in video coding by non-local means refined motion compensation
For this, the prediction is carried out in two steps.
Reconstruction of images taken by a pair of non-regular sampling sensors using correlation based matching
Recently, it has been shown that by covering a low resolution sensor with a non-regular sampling mask and by using an efficient algorithm for image reconstruction, a high resolution image can be obtained.
Reducing Randomness of Non-Regular Sampling Masks for Image Reconstruction
Recently, it has been shown that it is possible to obtain a high resolution image by covering a low resolution sensor with a non-regular sampling mask.
Reconstruction of Videos Taken by a Non-Regular Sampling Sensor
Recently, it has been shown that a high resolution image can be obtained without the usage of a high resolution sensor.
An unfitted Eulerian finite element method for the time-dependent Stokes problem on moving domains
We analyse a Eulerian Finite Element method, combining a Eulerian time-stepping scheme applied to the time-dependent Stokes equations using the CutFEM approach with inf-sup stable Taylor-Hood elements for the spatial discretisation.
Numerical Analysis Numerical Analysis
High Dynamic Range Imaging Technology
In this lecture note, we describe high dynamic range (HDR) imaging systems; such systems are able to represent luminances of much larger brightness and, typically, also a larger range of colors than conventional standard dynamic range (SDR) imaging systems.
