On the Combined Forward and Backward Anisotropic Diffusion Scheme for the Multispectral Image Enhancement
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چکیده
In this paper a new approach to the problem of edge preserving smoothing is proposed and evaluated. The new algorithm is based on the combined forward and backward anisotropic diffusion with incorporated time dependent cooling process. This method is able to efficiently remove image noise while preserving and enhancing image edges, lines and corners. The new method has been applied for the denoising of typical airborne images. Obtained results confirm good properties of the new noise reduction technique and its usefulness for the enhancement of various kinds of remotely sensed data in different detection and recognition systems [1,2]. 1 ANISOTROPIC DIFFUSION Perona and Malik [3] formulate the anisotropic diffusion filter as a process that encourages intraregional smoothing, while inhibiting interregional denoising. The PeronaMalik (P-M) nonlinear diffusion equation is of the form [3-7] :
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تاریخ انتشار 2002