DocumentCode :
1854448
Title :
Non-iterative construction of super-resolution image from an acoustic camera video sequence
Author :
Kim, K. ; Neretti, N. ; Intrator, N.
Author_Institution :
Inst. for Brain & Neural Syst., Brown Univ., Providence, RI
fYear :
2005
fDate :
March 31 2005-April 1 2005
Firstpage :
105
Lastpage :
111
Abstract :
The low visibility condition of underwater environments is often a limiting factor in the exploration of rivers or coastal areas. In such situations, relatively high resolution images produced by an acoustic camera can be an informative measure for the detection of terrain and objects. In this paper, we present a non-iterative super-resolution algorithm for the construction of a high resolution image from multiple frames of acoustic camera images. We discuss the geometry of insonification and image acquisition of an acoustic camera, and describe the detailed procedures for the registration, insonification correction, and fusion
Keywords :
acoustic signal processing; cameras; image enhancement; image registration; image resolution; image segmentation; image sequences; object detection; video signal processing; acoustic camera images; acoustic camera video sequence; coastal area exploration; high resolution image; image acquisition; image mosaicing; image registration; insonification geometry; non-iterative super-resolution algorithm; object detection; river exploration; terrain detection; underwater environments; video enhancement; Acoustic measurements; Acoustic signal detection; Cameras; Geometry; Image resolution; Object detection; Rivers; Sea measurements; Underwater acoustics; Video sequences;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Homeland Security and Personal Safety, 2005. CIHSPS 2005. Proceedings of the 2005 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-9176-4
Type :
conf
DOI :
10.1109/CIHSPS.2005.1500622
Filename :
1500622
Link To Document :
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