Title :
Enhancing Dental Radiographic Images in Spline-Type Spaces
Author :
Onchis, Darian M. ; Gotia, Smaranda Laura
Author_Institution :
Fac. of Math. & Inf., West Univ. of Timisoara, Timisoara, Romania
Abstract :
The aim of this paper is to propose a method to enhance the acquisition resolution of dental radiographic images to facilitate the clinical examination and interpretation. The algorithm is based on the approximation properties of spline-type spaces with multiple generators. These spaces are obtained by applying a discrete group of translation operators to a finite set of smooth functions, forming a Riesz basis for its closed linear span within the Hilbert space L2(R2). For computational efficiency a parallel approach to the algorithm is also proposed. The experiments show that the algorithm allows to increase the resolution of dental radiographic images to sub -- pixel levels.
Keywords :
Hilbert spaces; approximation theory; dentistry; diagnostic radiography; image enhancement; image resolution; medical image processing; splines (mathematics); Hilbert space; Riesz basis; approximation properties; clinical examination; clinical interpretation; closed linear span; computational efficiency; dental radiographic image resolution enhancement; discrete translation operator group; finite smooth function set; multiple generators; parallel approach; spline-type spaces; subpixel levels; Dentistry; Diagnostic radiography; Generators; Image resolution; Splines (mathematics); Standards; dental radiographic images; higher resolution; parallelization; spline-type spaces;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2014 16th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4799-8447-3
DOI :
10.1109/SYNASC.2014.80