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The noise() method applies randomly distributed noise to a bitmap. This kind of noise is akin to lm grain or static. The noise is applied to the entire image. The noise at each pixel is a random value conforming to certain parameters. The noise() method accepts the following parameters, which are all optional but the rst:
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randomSeed A seed for the random number generator. Because the random numbers are
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pseudorandom, use of the same seed generates the same noise (not that anyone is likely to notice). A convenient random seed that s not likely to be seen twice by the same person is the current time, (new Date()).getTime().
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low The minimum possible value for each channel (ARGB). Optional; defaults to 0. high The maximum possible value for each channel. Optional; defaults to 255. channelOptions Which channels noise will be added to. Use a combination of the RED, GREEN, BLUE, and ALPHA constants of BitmapDataChannel, or their values, 1, 2, 4, and 8. Use multiple channels with addition (+) or binary OR (|). Optional, defaults to RGB.
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36: Programming Bitmap Graphics
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grayScale Whether to create grayscale noise. If true, the same random value is used for all channels speci ed in channelOptions, and the noise appears different levels of gray. Optional; defaults to false.
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Example 36-14 uses the noise() method to attempt realistic lm grain. Because the per-pixel noise is so sharp, a blur lter is used. This, and the multiply blend mode, help make the noise appear more realistic. Finally, add in a icker and set the frame rate to 24 to make it totally lmic. EXAMPLE 36-14
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package { import flash.display.*; import flash.events.Event; import flash.filters.BlurFilter; import flash.geom.Point; import flash.net.URLRequest; import flash.system.LoaderContext; [SWF(frameRate="24", backgroundColor="#000000")] public class ch36ex14 extends Sprite { protected var bmp:BitmapData; protected var seed:int; protected var image:Loader; public function ch36ex14() { image = new Loader(); addChild(image); image.contentLoaderInfo.addEventListener(Event.COMPLETE, onLoad); image.load( new URLRequest("http://actionscriptbible.com/files/caviar.jpg"), new LoaderContext(true) ); } protected function onLoad(event:Event):void { var src:BitmapData = Bitmap(image.content).bitmapData; bmp = new BitmapData(src.width, src.height, true); var bitmap:Bitmap = new Bitmap(bmp); addChild(bitmap); bitmap.blendMode = BlendMode.MULTIPLY; addEventListener(Event.ENTER_FRAME, onEnterFrame); } protected function onEnterFrame(event:Event):void { bmp.fillRect(bmp.rect, 0); bmp.noise(++seed, 200, 255, BitmapDataChannel.BLUE, true); bmp.applyFilter(bmp, bmp.rect, new Point(), new BlurFilter(4, 4, 2)); image.alpha = (seed % 2) 0.95 : 1; } } }
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Notice how you also used a bitmap lter with applyFilter() to soften the otherwise-harsh grain.
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Perlin noise is a kind of fractal noise. Unlike the harsh grit of totally random noise, Perlin noise is owing, liquid, organic. It s fractal because it contains multiple layers of the same kind of noise, each at a smaller size called octaves so it s self-similar. Usually, only a few octaves are shown, unlike fractals that iterate toward in nity. Many aspects of the noise are controlled by code, so that you can corral the effect to your own ends. The usefulness of Perlin noise extends beyond creating plasma-like blobs; you can even generate an image with Perlin noise and examine its pixels as a replacement for Math.random() in totally nonbitmap code. It s hard to visualize Perlin noise from a short description; you can see a basic example of it in Figure 36-1. Without much manipulation, you can make Perlin noise approximate wood grain, marble, and clouds. Using randomness it outputs, you can model terrain, wind, re, and ripples. Those examples are just the most common applications. Use Perlin noise a few times, and you may nd yourself realizing it d be perfect for a completely different application.
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The perlinNoise() method lls a bitmap with Perlin noise. Control the noise generation with the following parameters:
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baseX The width to base the frequency of noise on. Use the width of the bitmap as a standard of measurement. Fit more or less in the bitmap by scaling this factor up and down. baseY The height to base the frequency of noise on. See baseX. numOctaves The number of octaves to render. Typically only a few octaves are rendered.
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