Image Enhancement with Rotating Kernel Transformation Filter Generated by Bresenham's Algorithm
Seungwon Shin, Kyeong-Seop Kim, Se-Min Lee, Chul-Gyu Song · The Transactions of The Korean Institute of Electrical Engineers · 2012
It is quite important to improve the visual acuity of a medical image by suppressing noisy parts and simultaneously keeping the details of signal components to draw the accurate diagnostics. With this aim, we suggest a novel method to generate Rotational Kernel Transformation (RKT) filter mask with applying Bresenham"s algorithm and implement an nonlinear filtering algorithm to eliminate noises. As a result, we can find the fact that RKT filter mask can be automatically created and the visual acuity of a corrupted image can be elevated in terms of the signal-to-noise ratio (SNR) with applying the RKT filter.