A method is presented for interpolation between neighbouring slices in a grey-scale tomographic data set, when a high-resolution image of the same patient is also available. Spatia...
Graeme P. Penney, Julia A. Schnabel, Daniel Ruecke...
We propose a method for interpolation between eigenspaces. Techniques that represent observed patterns as multivariate normal distribution have actively been developed to make it r...
Interpolation is a vital tool in biomedical signal processing. Although there exists a substantial literature dedicated to noise-free conditions, much less is known in the presenc...
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
H.264/scalable video coding (SVC) is a new compression technique that can adapt to various network environments and applications. However, despite its outstanding performance, H.2...
Joohyun Lee, Gwanggil Jeon, Sangjun Park, Taeyoung...
We present the application of a novel nonparametric approach to restoration and interpolation of medical images. The proposed approach is based on the notion of spatially adaptive...
Interpolated images have data redundancy, and special correlation exists among neighboring pixels, which is a crucial clue in digital forensics. We design a neural network based f...
Mutual information (MI) is a popular similarity metric
for multimodality image registration purpose. However,
it is negatively influenced by artifacts due to interpolation
effec...
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...