Sciweavers

Share
ICIP
1997
IEEE

Adjustable Quadratic Filters for Image Enhancement

11 years 4 months ago
Adjustable Quadratic Filters for Image Enhancement
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 memoryless one-to-one nonlinear mapping function. The mapping function can be described by any arbitrary function and implemented by a simple look-up table. If 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.
Reinhard Bernstein, Sanjit K. Mitra, Michael S. Mo
Added 06 Aug 2010
Updated 06 Aug 2010
Type Conference
Year 1997
Where ICIP
Authors Reinhard Bernstein, Sanjit K. Mitra, Michael S. Moore
Comments (0)
books