Performance of Detail-Preserving Weighted Median Filters for Image Processing - Nonlinear Digital Signal Processing, 1993. IEEE Winter Workshop on
نویسندگان
چکیده
In this paper, we present a method to design optimal two-dimensional detail-preserving weighted median (WM) filters in the sense that these filters preserve some desired image details, such as lines, corners, etc., under which they achieve the maximum noise attenuation. The performance of these detail-preserving WM filters is compared to that of FIR-median (FMII) hybrid filters which have shown good detail-preserving properties for image processing. Responses under different signal-to-noise ratios are carried out to characterize the performance of these detailpreserving W M filters.
منابع مشابه
Order Statistic-Based Nonlinear Filters: Stack Filters and Weighted Median Filters - Nonlinear Digital Signal Processing, 1993. IEEE Winter Workshop on
Since the introduction of the median filter by John Tukey in 1971, many important classes of order statistic-based nonlinear filters have bccn developed. In this papcr we review some rcccnt results obtained for the two filter classes known as stack filters and weighted median filters. The highlights include new results on optimal filter design and fast training algorithms. .
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تاریخ انتشار 1997