DocumentCode :
3336706
Title :
Image reconstruction of millimeter-wave radiometers with multi-quadric splines
Author :
Sarkis, Michel
Author_Institution :
Sensing Syst. Lab. (SSL), Sony Deutschland GmbHm, Stuttgart, Germany
fYear :
2010
fDate :
26-29 Sept. 2010
Firstpage :
1405
Lastpage :
1408
Abstract :
We present in this work a robust method to reconstruct millimeter-wave images from passive sensors. The method estimates each pixel of the image by applying a locally adaptive smoothing filter to the samples of the sensor. The filter assigns for each sample in the neighborhood of the pixel under consideration a weighting factor that determines its contribution. The filter preserves the piecewise smoothness of the image since it applies the multi-quadric splines combined with some adaptive distances to smooth the samples while preserving the edges. Results show that the our scheme leads to more contrast, less noise and the shape of the objects are better preserved in the constructed images when compared to state of the art methods.
Keywords :
adaptive filters; image reconstruction; millimetre wave detectors; millimetre wave imaging; radiometers; smoothing methods; splines (mathematics); adaptive smoothing filter; millimeter wave image reconstruction; millimeter wave radiometer; multiquadric splines; passive sensors; piecewise smoothness; weighting factor; Image reconstruction; Millimeter wave technology; Noise; Pixel; Radiometers; Sensors; Image reconstruction; adaptive filters; smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location :
Hong Kong
ISSN :
1522-4880
Print_ISBN :
978-1-4244-7992-4
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2010.5651656
Filename :
5651656
Link To Document :
بازگشت