Abstract
Generalized median filtering techniques that have appeared in previous literature suffer from some severe disadvantages. They are not only hardware intensive and time consuming but also tend to smear image edges. These shortcomings can be overcome by having Linear Nonlinear Hybrid (LNH) filtering techniques. The LNH filter performs better than both linear and nonlinear filters. Depending on the criterion for editing the data, two LNH filtering techniques-the B filter and the Tag-based Trimmed Mean(TTM) filter have been presented. These two filtering techniques are based on Rank Order Filter(ROF) algorithm. The ROF-RM filter are integrated in an area efficient manner to provide the basic building block for a signal processing chipset. This mixed-signal chipset uses fast MVL-based adders and can implement any LNH filter operation bit serially.
Yusuf, Khadem Mahmud (1994). Efficient implementation schemes for image enhancement filters. Master's thesis, Texas A&M University. Available electronically from
https : / /hdl .handle .net /1969 .1 /ETD -TAMU -1994 -THESIS -Y957.