Segmentation-based spatially adaptive motion blur removal and its application to surveillance systems

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 245-248

  Kang, S K ^a   Min, J H ^a   Paik, J K ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; FEATURE EXTRACTION; IMAGE RECONSTRUCTION; ITERATIVE METHODS; MATHEMATICAL MODELS;

IMAGE DEGRADATION; SPATIALLY ADAPTIVE MOTION BLUR REMOVAL; SURVEILLANCE SYSTEM;

IMAGE SEGMENTATION;

EID: 0035164088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Iterative image restoration algorithms
2. POCS-based restoration of space-varing blurred images
3. Iterative restoration of fast-moving objects in dynamic image sequences
4. Regularized restoration of partial-response distortions in sporadically degraded images
5. Object-based analysis of motion blur and its removal by considering occluded boundaries
6. Segmentation-based image restoration for multiple moving objects with different motions
7. A system for video surveillance and monitoring: VSAM final report