Adjustable Quadratic Filters for Image Enhancement

Reinhard Bernstein*, Michael Moore and Sanjit Mitra**

* Telecommunications institute
University Erlangen-Nuremberg,Cauerstr.7

** Dept.of Electrical and Computer Engineering
University of California, Santa Barbara
Santa Barbara,CA 93106-9560


We propose a new class of mapping-based nonlinear quadratic Volterra filters for image enhancement. The input signal is mapped prior to filtering by a emoryless one-to-one nonlinear mapping function. The mapping function can be described by any arbitrary function and implemented by a simple look-up table. necessary, an inverse mapping function is applied after filtering. Using this general approach, the quadratic Volterra filter output can be adjusted to a desired response. Some results are presented where a highpass quadratic Volterra filter is used to enhance an image by unsharp masking.
[PDF] [BibTex]
Reinhard Bernstein, Michael S. Moore and Sanjit K. Mitra,
IEEE International Conference on Image Processing (ICIP), vol. 1, pp. 287-290, Santa Barbara, CA, Oct. 1997.
Node ID: 256 , DB ID: 52 , Lab: IPL , Target: Proceedings
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