Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Schnurrer, Wolfgang"'
Publikováno v:
IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 419-431, Jan. 2018
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 for teleradiologic applications. A lossless scalable representation of
Externí odkaz:
http://arxiv.org/abs/2303.00379
Publikováno v:
IEEE 14th International Workshop on Multimedia Signal Processing (MMSP), Banff, AB, Canada, 2012, pp. 152-157
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 signal without losing the ability of perfect reconstruction. This leads
Externí odkaz:
http://arxiv.org/abs/2302.01594
Autor:
Schnurrer, Wolfgang, Jonscher, Markus, Seiler, Jürgen, Richter, Thomas, Bätz, Michel, Kaup, André
Publikováno v:
Visual Communications and Image Processing (VCIP), Singapore, 2015, pp. 1-4
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 lifting. The goal of image reconstruction is to restore these lost image
Externí odkaz:
http://arxiv.org/abs/2301.04840
Publikováno v:
Visual Communications and Image Processing, San Diego, CA, USA, 2012, pp. 1-6
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 popular. While much effort has been spent on encoding of the wavelet coef
Externí odkaz:
http://arxiv.org/abs/2301.04351
Publikováno v:
IEEE Visual Communications and Image Processing Conference, Valletta, Malta, 2014, pp. 398-401
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, compensated wavelet lifting offers a scalable representation of such huge vo
Externí odkaz:
http://arxiv.org/abs/2301.04349
Publikováno v:
Picture Coding Symposium, Krakow, Poland, 2012, pp. 185-188
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 approaches exist for lossless image coding. We analyze the compression perf
Externí odkaz:
http://arxiv.org/abs/2301.04348
Publikováno v:
International Symposium on Signals, Circuits and Systems, 2013, pp. 1-4
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 it can then be used as a downscaled version of the original signal. To
Externí odkaz:
http://arxiv.org/abs/2212.04330
Publikováno v:
IEEE International Conference on Image Processing (ICIP), 2014, pp. 3631-3635
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 can lead to disturbing artifacts. By incorporating feasible compensatio
Externí odkaz:
http://arxiv.org/abs/2212.04324
Publikováno v:
Picture Coding Symposium, 2016, pp. 1-5
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 by transmission errors of coded video data or undesired objects like lo
Externí odkaz:
http://arxiv.org/abs/2207.09737
Autor:
Jonscher, Markus, Seiler, Jürgen, Bätz, Michel, Richter, Thomas, Schnurrer, Wolfgang, Kaup, André
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 covered with a non-regular sampling mask followed by a reconstruction of th
Externí odkaz:
http://arxiv.org/abs/2204.04064