Texture characterization via joint statistics of wavelet coefficient magnitudes
- 27 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 62-66
- https://doi.org/10.1109/icip.1998.723417
Abstract
No abstract availableThis publication has 28 references indexed in Scilit:
- Pyramid-based texture analysis/synthesisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Cluster-based probability model and its application to image and texture processingIEEE Transactions on Image Processing, 1997
- Texture synthesis‐by‐analysis method based on a multiscale early‐vision modelOptical Engineering, 1996
- Combining frequency and spatial domain information for fast interactive image noise removalPublished by Association for Computing Machinery (ACM) ,1996
- Natural image statistics and efficient codingNetwork: Computation in Neural Systems, 1996
- A theory for multiresolution signal decomposition: the wavelet representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1984
- A New Method for Texture Fields Synthesis: Some Applications to the Study of Human VisionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1981
- The use of Markov Random Fields as models of textureComputer Graphics and Image Processing, 1980
- Visual Pattern DiscriminationIEEE Transactions on Information Theory, 1962