Access Restriction

Author Lukac, Rastislav ♦ Smolka, Bogdan ♦ Plataniotis, Konstantinos N. ♦ Venetsanopoulos, Anastasios N.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Vector Directional Filter ♦ Weighting Coefficient ♦ Angular Optimization Algorithm ♦ Optimal Trade-off ♦ Multichannel Input ♦ Wvdf Output ♦ Detail Preserving Characteristic ♦ Excellent Signal-detail Preservation Capability ♦ Image Statistic ♦ Weighted Angular Distance ♦ Different Property ♦ Filtering Window ♦ Input Sample ♦ Sufficient Robustness ♦ Optimized Wvdfs ♦ Weighted Median Filtering Framework ♦ Noise Statistic ♦ Weighted Vector Directional Filter ♦ Output Sample ♦ Image Noise ♦ Adaptive Stack Filter Design
Abstract In this paper, a class of Weighted Vector Directional Filters (WVDFs) based on the selection of the output sample from the multichannel input set is analyzed and optimized. The WVDF output minimizes the sum of weighted angular distances to other input samples from the filtering window. Dependent on the weighting coefficients, the class of the WVDFs can be designed to perform a number of smoothing operations with different properties, which can be applied for specific filtering scenarios. In order to adapt the weighting coefficients to varying noise and image statistics, we introduce a methodology, which achieves an optimal trade-off between smoothing and detail preserving characteristics. The proposed angular optimization algorithms take advantage of adaptive stack filters design and weighted median filtering framework. The optimized WVDFs are able to remove image noise, while maintaining excellent signal-detail preservation capabilities and sufficient robustness for a variety of signal and noise statistics.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study