An Integrated Framework for Aerial Image Restoration

An Integrated Framework for Aerial Image Restoration

The restoration of aerial images is a crucial process for exposing
ground features of interest to users. This is particularly
important in applications concerned with the surveillance
or remote sensing of the land. In this work, an efficient framework
was developed that aims at providing a higher quality
image of balanced tonal rendering, vivid colouring, and object
boundary sharpening. These goals were achieved by processing
the aerial image through an integration of colour channel
mean value exponent alignment, pixel based min–max shifting
and scaling, and object edge emphasizing.