Communications of the ACM
Computer and Robot Vision
Image enhancement using watershed-based maximum homogeneity filtering
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 1)-Volume 1 - Volume 1
Real-Time Imaging - Special issue on multi-dimensional image processing
Color image restoration using explicit local segmentation
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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The trend in modern image noise filtering algorithms has been toward structure preservation by using only those neighbouring pixels which are similar to the current pixel in some way. In this paper we introduce a technique call FUELS (Filtering Using Explicit Local Segmentation) which explicitly segments the m 脳 m region encompassing the current pixel and filters using only those pixels from the same segment. By exploiting mask overlap an effective mask size of (2m - 1) 脳 (2m - 1) is obtained, as well as robustness in regions which do not fit the image model. The algorithm can be iterated, and our results show FUELS to outperform existing algorithms both quantitatively and qualitatively.