如何使用高斯模糊处理图片,使用Stack Blur的fastblur算法

  次阅读 来源:互联网(转载协议) 2016-01-14 11:35 我要评论(0)

public static Bitmap fastblur(Context context, Bitmap sentBitmap, int radius) {

if (Build.VERSION.SDK_INT > 16) {

Bitmap bitmap = sentBitmap.copy(sentBitmap.getConfig(), true);

final RenderScript rs = RenderScript.create(context);

final Allocation input = Allocation.createFromBitmap(rs, sentBitmap, Allocation.MipmapControl.MIPMAP_NONE,

Allocation.USAGE_SCRIPT);

final Allocation output = Allocation.createTyped(rs, input.getType());

final ScriptIntrinsicBlur script = ScriptIntrinsicBlur.create(rs, Element.U8_4(rs));

script.setRadius(radius /* e.g. 3.f */);

script.setInput(input);

script.forEach(output);

output.copyTo(bitmap);

return bitmap;

}

// Stack Blur v1.0 from

// http://www.quasimondo.com/StackBlurForCanvas/StackBlurDemo.html

//

// Java Author: Mario Klingemann <mario at quasimondo.com>

// http://incubator.quasimondo.com

// created Feburary 29, 2004

// Android port : Yahel Bouaziz <yahel at kayenko.com>

// http://www.kayenko.com

// ported april 5th, 2012

// This is a compromise between Gaussian Blur and Box blur

// It creates much better looking blurs than Box Blur, but is

// 7x faster than my Gaussian Blur implementation.

//

// I called it Stack Blur because this describes best how this

// filter works internally: it creates a kind of moving stack

// of colors whilst scanning through the image. Thereby it

// just has to add one new block of color to the right side

// of the stack and remove the leftmost color. The remaining

// colors on the topmost layer of the stack are either added on

// or reduced by one, depending on if they are on the right or

// on the left side of the stack.

//

// If you are using this algorithm in your code please add

// the following line:

//

// Stack Blur Algorithm by Mario Klingemann <mario@quasimondo.com>

Bitmap bitmap = sentBitmap.copy(sentBitmap.getConfig(), true);

if (radius < 1) {

return (null);

}

int w = bitmap.getWidth();

int h = bitmap.getHeight();

int[] pix = new int[w * h];

Log.e("pix", w + " " + h + " " + pix.length);

bitmap.getPixels(pix, 0, w, 0, 0, w, h);

int wm = w - 1;

int hm = h - 1;

本站部分文章来源于网络以及网友投稿,本站只负责对文章进行整理、排版、编辑,是出于传递更多信息之目的,并不意味着赞同其观点或证实其内容的真实性。如果您有什么意见或建议,请联系QQ28-1688-302!

人工智能实验室
相关文章相关文章
  • Oculus公布原型机,大幅度提升可视角,能实现140°的视场水平

    Oculus公布原型机,大幅度提升可视角,能实现140°的视场水平

  • teamLab创始人猪子寿之: 抛去衣食住行,我还剩下什么?

    teamLab创始人猪子寿之: 抛去衣食住行,我还剩下什么?

  • Michael I. Jordan带你解读百万奖金ATEC蚂蚁人工智能大赛

    Michael I. Jordan带你解读百万奖金ATEC蚂蚁人工智能大赛

  • 2018深圳国际人工智能展览会 2018 shenzhen International Artif

    2018深圳国际人工智能展览会 2018 shenzhen International Artif

网友点评网友点评
阅读推荐阅读推荐

据外媒报道,STEER打造了首款完全自动驾驶停车技术,旨在使常规车辆转变为无人驾驶车辆。STEER的首款技术应用是4级自动驾驶及网络安全停车...

近日,美国软性机器抓手制造商 Soft Robotics 宣布,获得 2000 万美元的融资,本轮投资者包括 Scale Venture Partners,Calibrate Ventures...

据外媒报道,加州车管局发布了《2017自动驾驶脱离报告(California Autonomous Vehicle Disengagement Reports)》,其中谈及了脱离的具体...

用人机语音交互,来解决智能家居适老的问题;通过家庭门禁与安防套件、空气净化套件、可燃气体与有害气体监控套件等相互联动,在不同生活情...