A ROBUST APPROACH TO IMAGE ENHANCEMENT BASED ON FUZZY LOGIC

摘要

A robust approach to image enhancement based on fuzzy logic that addresses the conflicting goals of image enhancement:(ⅰ) removing impulse noise, (ⅱ) smoothing out nonimpulse noise, and (ⅲ) enhancing (or preserving) edges and certain other salient structures. We derive three different filters for each of the above three tasks using the weighted (or fuzzy) least squares (LS) method, and define the criteria for selecting each of the three filters. They constitute the fuzzy rules. The overall result of the fuzzy rule-based system is the combination of the results of the individual filters, where each result contributes to the degree that the corresponding clause is satisfied. This approach gives us a powerful and flexible image enhancement paradigm.