Towards a unified view of estimation: Variational vs. statistical

IEEE International Conference on Image Processing

Volumn 2, Issue , 2001, Pages 577-580

  Krim, H ^a   Hamza, A B ^a  

^a North Carolina State University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DIGITAL FILTERS; ESTIMATION; GAUSSIAN NOISE (ELECTRONIC); MARKOV PROCESSES; MATHEMATICAL MODELS; NONLINEAR EQUATIONS; PARTIAL DIFFERENTIAL EQUATIONS; STATISTICAL METHODS; VARIATIONAL TECHNIQUES;

GRADIENT DESCENT FLOW; MAXIMUM A POSTERIORI ESTIMATION; MAXIMUM ENTROPY RANDOM FIELD MODEL; NEG-ENTROPY VARIATIONAL INTEGRAL;

NONLINEAR FILTERING;

EID: 0035163959     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images
2. Scale-space and edge detection using anisotropic diffusion
3. Nonlinear total variation based noise removal algorithms
4. Minimax description length for signal denoising and optimized representation
5. Removing noise and preserving details with relaxed median filters
6. A variational approach to MAP estimation for image denoising