Image recovery by 2-D Least Mean Square adaptive method

The success of information gathering using images depends on the ability of the gathering device to eliminate noise. The majority of third world countries rely on under slung aircraft cameras to gather information, because of their inability to afford satellites. The camera such as Vinten, can take detailed pictures from an altitude of about 1000 m. Use of such airborne cameras result in long processing time, loss of important information during processing, causing poor quality images. To address these challenges, this paper developed software that is capable of restoring damaged or poor quality images for ease and quick interpretation. The 2-D Least Mean Square (LMS) adaptive algorithm was implemented using MATLAB to restore damaged images. The results showed an improvement by line enhancement on the degraded images. The 2-D adaptive algorithm improved quality of degraded images. A further analysis of the damaged and restored images showed an associated shift in frequency response and the loss in the intensity magnitude of the image.