title: Extended depth of field using shapelet-based image analysis.
abstract: One way to extend depth of field of any optical system is to take several images with different focus positions and combine them into a single composite image, which contains all regions fully focused. The challenge then becomes to select from each image the pixels that are in focus. We describe a new focus measure based on the shapelet decomposition. Results using simulated images with high noise content show that the shapelet-based focus measure is the most performance that traditional neighborhood-based focus approaches. Similarly shapelet focus measure provides significant improvement compared to traditional methods when objects have nontextured or homogeneous regions.
authors.affiliation: Universidad Industrial de Santander, Bucaramanga, Columbia. jaimen@uis.edu.co
authors.forename: Jaime
authors.initials: J
authors.lastname: Meneses
authors.forename: Miguel A
authors.initials: MA
authors.lastname: Suarez
authors.forename: José
authors.initials: J
authors.lastname: Braga
authors.forename: Tijani
authors.initials: T
authors.lastname: Gharbi
mesh_terms: D000465:Algorithms; D016477:Artifacts; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D014054:Tomography / Q000379:methods*