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.

• Type: Conference
• Year: 1997
• Where: ICIP
• Authors: Reinhard Bernstein, Sanjit K. Mitra, Michael S. Moore
• Keywords: ICIP 1997, Image Processing, Mapping Function, Nonlinear Quadratic Volterra, Quadratic Volterra filter