DocumentCode :
2139996
Title :
Composite interpolation approach to super-resolution for image database browsing over the web
Author :
Ginesu, Giaime ; Dessi, Tiziana ; Atzori, Luigi ; Giusto, Daniele D.
Author_Institution :
Dept. of Electron. Eng., Univ. of Cagliari, Cagliari
fYear :
2008
fDate :
18-20 June 2008
Firstpage :
315
Lastpage :
322
Abstract :
Super-resolution is a key task when browsing huge image databases over the Web; in fact, it allows for significant improvements of the service interactivity by increasing the image spatial resolution so that only thumbnail version of the images can be sent over the network. In the proposed work, the low-resolution image is first analyzed to identify several features that are significant for visual rendering and scene understanding. Such a classification is based on local frequency composition: uniform regions, edges and textures. The identified regions are then treated differently depending on the relative visual significance. Each region is further analyzed and a different interpolation approach is adopted, ranging from plain linear interpolation for homogeneous areas to edge area analysis and selective anisotropic interpolation. The combination of image region classification and adaptive-anisotropic interpolation is the main novelty of the proposed approach, which proved to outperform alternative techniques.
Keywords :
Internet; edge detection; image classification; image resolution; image retrieval; image texture; interpolation; visual databases; Web browsing; adaptive-anisotropic interpolation; composite interpolation approach; edge area analysis; image database browsing; image region classification; image spatial resolution; image super-resolution; linear interpolation approach; scene understanding; selective anisotropic interpolation; visual rendering; Frequency; Image analysis; Image databases; Image resolution; Interpolation; Layout; Multimedia databases; Rendering (computer graphics); Spatial databases; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Multimedia Indexing, 2008. CBMI 2008. International Workshop on
Conference_Location :
London
Print_ISBN :
978-1-4244-2043-8
Electronic_ISBN :
978-1-4244-2044-5
Type :
conf
DOI :
10.1109/CBMI.2008.4564963
Filename :
4564963
Link To Document :
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