Optimal Weighted Highpass Filters Using Multiscale Analysis
نویسندگان
چکیده
In this paper, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm. This work was supported by the National Science Foundation, grant no. MIP 94–57438, and by the Office of Naval Research, grant no. N00014–95–1–0849.
منابع مشابه
Adaptive Weighted Highpass Filters Using Multiscale Analysis - Image Processing, IEEE Transactions on
In this correspondence, we propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requ...
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