A feature of images generated by CCD CBERS-2B is the blurred appearance and also they show a very intense noise stripes in almost all bands, making it difficult to obtain information and to analyze the content present in these images. Enhancement strategies using traditional high-pass filtering not only enhance the features, but also the noise present in images. In this study we sought to improve these images initially decreasing noise stripes using the Fourier transform filter and the median and then highlighting the features using high-pass filters and low-pass as weights from a multiscale decomposition. To automate the process the optimum enhancement is obtained as a linear combination of elements of the set of weights defined by the outputs of the wavelet transform using minimum squares. The method is compared with the method of Richardson-Lucy, showing that it is possible to enhance with a quality equivalent and even superior because it takes a smaller amplification of noise in the image.Pages: 2561-256
