Satellite Image Gap Filling Technique

In the current research work a useful gap filling method was presented. Images over Al Mosel city in Iraq were used as tested images. The linear algorithm for high resolution (H.R.) image interpolation were based. The difference between the proposed algorithm and conventional nearest neighbor algorithm is that the concept applied, to estimate the missing pixel value, is guided by the nearest value rather than the distance. In other words, the proposed concept selects one pixel, among four directly surrounding the empty location, whose value is almost equal to the value generated by the conventional bilinear interpolation algorithm. The experimental results show that the proposed method demonstrated higher performances in terms of H.R. and thus is applicable to gray level satellites images.