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先说说实现的的思路:
当程序即将进入后台时,把当前屏幕截个图,此时要将图片毛玻璃化,并作为UIImageView的image,然后将imageView放在window的最上面,等即将进入前台时移除毛玻璃蒙版。
下面就来说代码实现吧(在代理文件中实现):
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@interface AppDelegate ()@property (nonatomic, weak)UIImageView *cover;@end |
主要代码:
- (void)applicationDidEnterBackground:(UIApplication *)application {
UIImageView *imgView = [[UIImageView alloc] initWithFrame:[UIApplication sharedApplication].keyWindow.bounds];
self.cover = imgView;
[[UIApplication sharedApplication].keyWindow addSubview:imgView];
UIGraphicsBeginImageContext([UIApplication sharedApplication].keyWindow.size);
// 将当前layer的截图写进上下中
[[UIApplication sharedApplication].keyWindow.layer renderInContext:UIGraphicsGetCurrentContext()];
// 从上下中读取图片
UIImage *image = UIGraphicsGetImageFromCurrentImageContext();
// 压缩图片,并转成JPEG类型
NSData *imageData = UIImageJPEGRepresentation(image, 0.01);
image = [UIImage imageWithData:imageData];
// 注意:不能直接将图片毛玻璃化,要转成data后,再转成image,此时的image才能毛玻璃化,不然调用blurryImage:withBlurLevel会报错。
imgView.image = [UIImage blurryImage:image withBlurLevel:0.15];
}
- (void)applicationDidBecomeActive:(UIApplication *)application {
[self.cover removeFromSuperview];
}
//下面代码是 blurryImage:withBlurLeve方法l的具体实现,我将它写成了UIImage的分类,所以可以直接用UIImage调用。
//加模糊效果,image是图片,blur是模糊度
+ (UIImage *)blurryImage:(UIImage *)image withBlurLevel:(CGFloat)blur {
//模糊度,
if ((blur < 0.1f) || (blur > 2.0f)) {
blur = 0.5f;
}
//boxSize必须大于0
int boxSize = (int)(blur * 100);
boxSize -= (boxSize % 2) + 1;
NSLog(@"boxSize:%i",boxSize);
//图像处理
CGImageRef img = image.CGImage;
//需要引入#import <Accelerate/Accelerate.h>
/*
This document describes the Accelerate Framework, which contains C APIs for vector and matrix math, digital signal processing, large number handling, and image processing.
本文档介绍了Accelerate Framework,其中包含C语言应用程序接口(API)的向量和矩阵数学,数字信号处理,大量处理和图像处理。
*/
//图像缓存,输入缓存,输出缓存
vImage_Buffer inBuffer, outBuffer;
vImage_Error error;
//像素缓存
void *pixelBuffer;
//数据源提供者,Defines an opaque type that supplies Quartz with data.
CGDataProviderRef inProvider = CGImageGetDataProvider(img);
// provider’s data.
CFDataRef inBitmapData = CGDataProviderCopyData(inProvider);
//宽,高,字节/行,data
inBuffer.width = CGImageGetWidth(img);
inBuffer.height = CGImageGetHeight(img);
inBuffer.rowBytes = CGImageGetBytesPerRow(img);
inBuffer.data = (void*)CFDataGetBytePtr(inBitmapData);
//像数缓存,字节行*图片高
pixelBuffer = malloc(CGImageGetBytesPerRow(img) * CGImageGetHeight(img));
outBuffer.data = pixelBuffer;
outBuffer.width = CGImageGetWidth(img);
outBuffer.height = CGImageGetHeight(img);
outBuffer.rowBytes = CGImageGetBytesPerRow(img);
// 第三个中间的缓存区,抗锯齿的效果
void *pixelBuffer2 = malloc(CGImageGetBytesPerRow(img) * CGImageGetHeight(img));
vImage_Buffer outBuffer2;
outBuffer2.data = pixelBuffer2;
outBuffer2.width = CGImageGetWidth(img);
outBuffer2.height = CGImageGetHeight(img);
outBuffer2.rowBytes = CGImageGetBytesPerRow(img);
//Convolves a region of interest within an ARGB8888 source image by an implicit M x N kernel that has the effect of a box filter.
error = vImageBoxConvolve_ARGB8888(&inBuffer, &outBuffer2, NULL, 0, 0, boxSize, boxSize, NULL, kvImageEdgeExtend);
error = vImageBoxConvolve_ARGB8888(&outBuffer2, &inBuffer, NULL, 0, 0, boxSize, boxSize, NULL, kvImageEdgeExtend);
error = vImageBoxConvolve_ARGB8888(&inBuffer, &outBuffer, NULL, 0, 0, boxSize, boxSize, NULL, kvImageEdgeExtend);
if (error) {
NSLog(@"error from convolution %ld", error);
}
// NSLog(@"字节组成部分:%zu",CGImageGetBitsPerComponent(img));
//颜色空间DeviceRGB
CGColorSpaceRef colorSpace = CGColorSpaceCreateDeviceRGB();
//用图片创建上下文,CGImageGetBitsPerComponent(img),7,8
CGContextRef ctx = CGBitmapContextCreate(
outBuffer.data,
outBuffer.width,
outBuffer.height,
8,
outBuffer.rowBytes,
colorSpace,
CGImageGetBitmapInfo(image.CGImage));
//根据上下文,处理过的图片,重新组件
CGImageRef imageRef = CGBitmapContextCreateImage (ctx);
UIImage *returnImage = [UIImage imageWithCGImage:imageRef];
//clean up
CGContextRelease(ctx);
CGColorSpaceRelease(colorSpace);
free(pixelBuffer);
free(pixelBuffer2);
CFRelease(inBitmapData);
CGColorSpaceRelease(colorSpace);
CGImageRelease(imageRef);
return returnImage;
}
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原文地址:http://www.cnblogs.com/junhuawang/p/4390708.html