如何使用 Swift 模糊 UIImageView 中的现有图像?

How to blur an existing image in a UIImageView with Swift?

设置很简单。

import UIKit

class ViewController: UIViewController {

    @IBOutlet weak var bg: UIImageView!

    @IBAction func blur(_ sender: Any) {
        let inputImage = CIImage(cgImage: (bg.image?.cgImage)!)

        let filter = CIFilter(name: "CIGaussianBlur")
        filter?.setValue(inputImage, forKey: "inputImage")
        filter?.setValue(10, forKey: "inputRadius")
        let blurred = filter?.outputImage
        bg.image = UIImage(ciImage: blurred!)
    }
}

单击按钮时屏幕变白。无法弄清楚我做错了什么。有人知道我做错了什么吗?

您可以通过UIBlurEffectUIVisualEffectView添加模糊效果:

@IBAction func blur(_ sender: Any) {

    let darkBlur = UIBlurEffect(style: UIBlurEffectStyle.dark) 
    let blurView = UIVisualEffectView(effect: darkBlur)
    blurView.frame = bg_imagview.bounds
    blurView.autoresizingMask = [.flexibleWidth, .flexibleHeight]
    bg_imagview.addSubview(blurView)

}

我在 NSObject class 中制作了模糊,所以我可以很容易地在整个项目中使用这个方法。

class Helper: NSObject
{
    class func addBlurView(_ inView : UIView) -> UIVisualEffectView
    {
        let blurEffect = UIBlurEffect(style: UIBlurEffectStyle.dark)
        let blurEffectView = UIVisualEffectView(effect: blurEffect)

        //always fill the view
        blurEffectView.frame = inView.bounds
        blurEffectView.autoresizingMask = [.flexibleWidth, .flexibleHeight]
        blurEffectView.alpha = 0.5

        return blurEffectView
    }
}

在ViewController中我制作了UIVisualEffectView的对象。然后调用辅助class方法添加模糊。

import UIKit

class ViewController: UIViewController
{
   var blurEffectView : UIVisualEffectView!
    override func viewDidLoad() {
        super.viewDidLoad()

      blurEffectView = Helper.addBlurView((imgView)!)
      self.imgView.addSubview(blurEffectView)
}

您可以简单地使用UIVisualEffect来实现模糊效果。当您尝试在 class.

之后使用 CoreImage.Try 下面的代码实现模糊效果时
var context = CIContext(options: nil)

func blurEffect() {

    let currentFilter = CIFilter(name: "CIGaussianBlur") 
    let beginImage = CIImage(image: bg.image!)
    currentFilter!.setValue(beginImage, forKey: kCIInputImageKey)
    currentFilter!.setValue(10, forKey: kCIInputRadiusKey)

    let cropFilter = CIFilter(name: "CICrop")
    cropFilter!.setValue(currentFilter!.outputImage, forKey: kCIInputImageKey)
    cropFilter!.setValue(CIVector(cgRect: beginImage!.extent), forKey: "inputRectangle")

    let output = cropFilter!.outputImage 
    let cgimg = context.createCGImage(output!, from: output!.extent)
    let processedImage = UIImage(cgImage: cgimg!)
    bg.image = processedImage
}

输出:

注意:我建议您在真实设备上测试代码,因为模拟器在 coreImage 上的性能太慢。

使用这个:

 import UIKit

    class ViewController: UIViewController {

        @IBOutlet weak var bgImageView: UIImageView!
        @IBOutlet weak var blurButton: UIButton!


        override func viewDidLoad() {
            super.viewDidLoad()
            // Do any additional setup after loading the view, typically from a nib.
        }

        override func didReceiveMemoryWarning() {
            super.didReceiveMemoryWarning()
            // Dispose of any resources that can be recreated.
        }


        @IBAction func blurButtonTapped(_ sender: Any) {

                let inputImage = CIImage(cgImage: (self.bgImageView.image?.cgImage)!)
                let filter = CIFilter(name: "CIGaussianBlur")
                filter?.setValue(inputImage, forKey: "inputImage")
                filter?.setValue(10, forKey: "inputRadius")
                let blurred = filter?.outputImage

                var newImageSize: CGRect = (blurred?.extent)!
                newImageSize.origin.x += (newImageSize.size.width - (self.bgImageView.image?.size.width)!) / 2
                newImageSize.origin.y += (newImageSize.size.height - (self.bgImageView.image?.size.height)!) / 2
                newImageSize.size = (self.bgImageView.image?.size)!

                let resultImage: CIImage = filter?.value(forKey: "outputImage") as! CIImage
                let context: CIContext = CIContext.init(options: nil)
                let cgimg: CGImage = context.createCGImage(resultImage, from: newImageSize)!
                let blurredImage: UIImage = UIImage.init(cgImage: cgimg)
                self.bgImageView.image = blurredImage
        }

    }

输出:

Gitbub link:

https://github.com/k-sathireddy/ImageBlurEffect

以下是我在 SWIFT 3.1 中获得预期结果的方式: 希望对你有帮助。

func blurImage(image:UIImage) -> UIImage? {
        let context = CIContext(options: nil)
        let inputImage = CIImage(image: image)
        let originalOrientation = image.imageOrientation
        let originalScale = image.scale

        let filter = CIFilter(name: "CIGaussianBlur")
        filter?.setValue(inputImage, forKey: kCIInputImageKey)
        filter?.setValue(10.0, forKey: kCIInputRadiusKey) 
        let outputImage = filter?.outputImage

        var cgImage:CGImage?

        if let asd = outputImage
        {
            cgImage = context.createCGImage(asd, from: (inputImage?.extent)!)
        }

        if let cgImageA = cgImage
        {
            return UIImage(cgImage: cgImageA, scale: originalScale, orientation: originalOrientation)
        }

        return nil
    }

对于那些 ❤️ 协议的人

protocol Bluring {
    func addBlur(_ alpha: CGFloat)
}

extension Bluring where Self: UIView {
    func addBlur(_ alpha: CGFloat = 0.5) {
        // create effect
        let effect = UIBlurEffect(style: .dark)
        let effectView = UIVisualEffectView(effect: effect)

        // set boundry and alpha
        effectView.frame = self.bounds
        effectView.autoresizingMask = [.flexibleWidth, .flexibleHeight]
        effectView.alpha = alpha

        self.addSubview(effectView)
    }
}

// Conformance
extension UIView: Bluring {}

// use
someImageview.addBlur()

一个性能良好且结果不错的解决方案是 StackBlur,它使用一种巧妙的算法来有效地近似模糊:

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 (or maybe a "Tower of Hanoi" kind of structure) of colors whilst scanning through the image. This "tower" controls the weights of the single pixels within the convolution kernel and gives the pixel in the center the highest weight. The secret of the speed is that the algorithm just has to add one new pixel to the right side of the stack and at the same time remove the leftmost pixel. 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.

查看 StackBlur on Github

那里有很多版本,也有 Swift 端口,但它们比 Obj-C 版本慢得多。

2019 年新增:

如果要模糊的图像是远程加载的,我强烈推荐 Nuke 框架,它可以远程加载图像并且可以立即应用模糊滤镜。它的应用程序可与 Android 上的 Glide 库相媲美。虽然模糊一张图像可能很容易,但模糊许多图像——比如在集合视图中——同时考虑设备资源限制就不那么简单了。 Nuke 针对远程图像加载、缓存和处理进行了高度优化。它还可以在几个方面进行扩展。通过比较可用的远程图像加载框架,我认为截至 2019 年 11 月,Nuke 是最稳定和最先进的。

检查是否有什么东西来了。我有一个类似的问题,但在我的例子中,我没有创建 CIImage 的新实例,因为 image.ciimage 即将到来。

大家好,像我一样懒惰的人。

只需添加带有 cocoapods 的 SwifterSwift。

导入 SwifterSwift。

import SwifterSwift

像下面一样模糊你的图像视图。

someImageView.blur()

我的分机

extension UIImage {
    
    func blurImage(radius: CGFloat = 10) -> UIImage? {
        guard let cgImage = cgImage else { return nil }
        let inputCIImage = CIImage(cgImage: cgImage)
        let context = CIContext(options: nil)
        
        let filter = CIFilter(name: "CIGaussianBlur")
        filter?.setValue(inputImage, forKey: kCIInputImageKey)
        filter?.setValue(radius, forKey: kCIInputRadiusKey)
        let outputImage = filter?.outputImage
        
        if let outputImage = outputImage,
            let cgImage = context.createCGImage(outputImage, from: inputImage.extent) {
            
            return UIImage(
                cgImage: cgImage,
                scale: scale,
                orientation: imageOrientation
            )
        }
        return nil
    }
 }

CoreImage 中实际上有一个方便的实现 https://developer.apple.com/documentation/coreimage/ciimage/1645897-applyinggaussianblur

extension UIImage {

func blur(_ radius: Double) -> UIImage? {
    if let img = CIImage(image: self) {
        return UIImage(ciImage: img.applyingGaussianBlur(sigma: radius))
    }
    return nil
}