In adaptive image filtering, the coefficients of the filtering window can change in response to local conditions as the window moves from pixel to pixel over an image. This appears to preclude a solution approach involving run-time reconfiguration (RTR), as efficient use of RTR depends on a sufficient stretch of computing time between reconfiguring phases. This paper applies RTR to solve the adaptive image filtering problem by capitalizing on the regular appearance of each pixel in multiple filtering windows. We describe our approach and present simulation results demonstrating its merit.