Multiscale image processing using normal triangulated meshes

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 229-232

  Jansen, M ^a   Choi, H ^a   Lavu, S ^a   Baraniuk, R ^a  

^a The NanoCarbon Center and Welch Institute for Advanced Materials   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; EDGE DETECTION; TENSORS; THREE DIMENSIONAL COMPUTER GRAPHICS; WAVELET TRANSFORMS;

ADAPTIVE TRIANGULATION; GRAYSCALE FUNCTION; IMAGE DECOMPOSITION; MULTIRESOLUTION IMAGE PROCESSING; NORMAL TRIANGULAR MESHES;

IMAGE PROCESSING;

EID: 0035169628     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Wedgelets: Nearly minimax estimation of edges
2. Curvelets - A surprisingly effective nonadaptive representation for objects with edges
3. Long and thin triangles can be good for linear interpolation
4. Data-dependent triangulations for scattered data interpolation and finite-element approximation
5. Normal meshes
6. Building your own wavelets at home