Targeting on Enhancing 2D Aerial Image Information by Technology of Unsharp Masking

To obtain image enhancement by getting detail texture features rich through the subtraction between the original graph and low-frequency graph, utilizing the wavelet decomposition technique, separating the components of high frequency and low frequency in the 2D (two-dimensional) aerial image, filtering the low frequency subgraph, and retaining only the low-frequency part. Practice has proved that the unsharp masking algorithm of wavelet transforming has obvious superiority over the traditional algorithm. The algorithm can separate characteristics of different resolution details, adjust the filter window size, make the wavelet components of different scales enhanced, the detail more clear, get a strong sense of layer and good enhancement effect.