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
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;
Conference_Titel :
Signal Processing Conference, 2007 15th European
Conference_Location :
Poznan
Print_ISBN :
978-839-2134-04-6
