DocumentCode
706268
Title
A model-based quality improvement and assessment of hazy degraded images
Author
Gabarda, Salvador ; Cristobal, Gabriel ; Sroubek, Filip
Author_Institution
Inst. de Opt., Madrid, Spain
fYear
2007
fDate
3-7 Sept. 2007
Firstpage
2234
Lastpage
2238
Abstract
Haze is an atmospheric degradation that appears in real scenarios when there is considerable amount of dust, aerosols or water vapor that impairs the quality of images. The quality improvement procedure is based in a recently developed image fusion methodology consisting in applying a 1-D pseudo-Wigner distribution (PWD) transformation to the source images and on the use of a pixel-wise quality measure. Such procedure is able to process sequences of multi-temporal registered images affected with spatial-variant noise and effectively remove the haze present in the image sequence.
Keywords
image fusion; image registration; image sequences; 1-D pseudo-Wigner distribution; PWD transformation; aerosols; atmospheric degradation; dust; hazy degraded images; image fusion methodology; image sequence; model-based quality assessment; model-based quality improvement; multitemporal registered images; spatialvariant noise; water vapor; Degradation; Entropy; Europe; Histograms; Image fusion; Noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2007 15th European
Conference_Location
Poznan
Print_ISBN
978-839-2134-04-6
Type
conf
Filename
7099205
Link To Document