Examples of com.alkacon.simapi.filter.buffered.GaussianFilter

Package com.alkacon.simapi.filter.buffered

Examples of com.alkacon.simapi.filter.buffered.GaussianFilter

com.alkacon.simapi.filter.buffered.GaussianFilter
A filter which applies Gaussian blur to an image. This is a subclass of ConvolveFilter which simply creates a kernel with a Gaussian distribution for blurring. @author Jerry Huxtable


            double factor = ((1 / widthScale) + (1 / heightScale)) / 2.0;
            int average = (image.getWidth() + image.getHeight()) / 2;
            if (((factor < 10.0) && (average < 1000))) {
                // image is quite small and suitable factor - use gaussian blur 
                GaussianFilter gauss = new GaussianFilter();
                double radius = Math.sqrt(1.5 * factor);
                gauss.setRadius((float)radius);
                image = gauss.filter(image, null);
            } else {
                // image is rather large, use much faster box blur
                double root = Math.sqrt(0.75 * factor);
                int radius;
                if ((factor < 3.5) || (pixel > m_renderSettings.getMaximumBlurSize())) {

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            double factor = ((image.getWidth() / (widthScale * image.getWidth())) + (image.getHeight() / (heightScale * image.getHeight()))) / 2.0;
            int average = (image.getWidth() + image.getHeight()) / 2;
            if (((factor < 5.0) && (average < 1000))) {
                // image is quite small and suitable factor - use gaussian blur 
                GaussianFilter gauss = new GaussianFilter();
                double radius = Math.sqrt(2.0 * factor);
                gauss.setRadius((float)radius);
                image = gauss.filter(image, null);
            } else {
                // image is rather large, use much faster box blur
                double root = Math.sqrt(factor);
                int radius;
                if ((factor < 3.5) || (pixel > m_renderSettings.getMaximumBlurSize())) {

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            // (actually close to 0.5 it also looks jagged, so we use 0.575 instead)
            // however, if the image is to big, "out of memory" issues may occur
            int average = (width + height) / 2;
            if ((factor < 5.0) && (average < 900)) {
                // image is quite small and suitable factor - use gaussian blur 
                GaussianFilter gauss = new GaussianFilter();
                double radius = Math.sqrt(2.0 * factor);
                gauss.setRadius((float)radius);
                image = gauss.filter(image, null);
            } else {
                // image is rather large, use much faster box blur
                double root = Math.sqrt(factor);
                int radius;
                if (factor < 2.5) {

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Related Classes of com.alkacon.simapi.filter.buffered.GaussianFilter

com.alkacon.simapi.Simapi

java.awt.image.Kernel

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