Distorted images enhancement by the nonlinear local histogram modification method

Image enhancement and evaluation play an important role in modem information and measurement technologies. Because of the physical and technical limitations the obtained images are often distorted by noise influence and low resolution. Image enhancement provided by a conventional linear filtering and known standard smoothing methods can be not effective due to a contrast reduction. Image enhancement can be provided effectively by the adaptive nonlinear algorithms such as local gay-level histogram modification method recently investigated with application to images of special class like moire fringe patterns. This method was developed for noise suppression without decreasing the image contrast. It can be used for solving the image enhancement and restoration problems with application to different image kinds inherent in the remote sensing technologies.