ADAPTIVE HISTOGRAM-BASED FILTER FOR IMAGE RESTORATION

A novel filter for image restoration is proposed in this paper. The filter estimates histogram of original image via input image. It gets a membership function through the histogram, and the membership function contains a lot of information of original image. Then a weighted fuzzy mean filter is established based on this membership function; meanwhile, the filter adaptively adopts different filter scale according to the character divergence of image region and intensity of impulsive noise. Experimental result shows that new filter gives superior performance to conventional filters and currently used fuzzy filter.

Effects of Pruning to Promote Trunk Extensionon Annual Growth Rhythm of Paulownia

This paper aims to confirm the optimal pruning intensity to promote paulownia growth. Annualdynamic of 8 growth indicators for pruning of three-year-old Paulownia to promote trunk extension weresimulated under 7 treatments. The results showed that annual growth process could be modeled reliably byRichards function. Eight growth parameters were developed including fast-growing point (t0), initialpoint of fast-growing period (t1), final point of fast-growing period (t2), fast-growing period (t), growthperiod (Dg), maximum day increment (AGRmax), maximum annual increment (A). Effects of pruning topromote trunk extension on growth parameters were analyzed. Paulownia remaining 3~6 lower branchesafter pruning had relatively longer fast-growing period (t), growth period (Dg), higher average day increment(Am), maximum day increment (AGRmax) and maximum annual increment (A). Therefore, lower diametergrowth of original trunk did not decrease significantly, and upper diameter growth increased to someextent. Height and diameter growth of grafting trunk, and form ratio of grafting trunk were relatively higher.Total stock volume increment was improved significantly under the condition that stock volume incrementof original trunk did not decrease.