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How to use Golang to blur and sharpen images
Introduction:
In the field of image processing, blurring and sharpening are common operations. As a powerful and efficient programming language, Golang's rich libraries and concise syntax make image processing easy and fun. This article will introduce how to use Golang to blur and sharpen images, and provide corresponding code examples.
github.com/disintegration/gift
package, which can easily blur images. First, we need to import the gift
package in the code:
import ( "github.com/disintegration/gift" )
Then, we can blur the image through the following code:
func BlurImage(imagePath string, outputPath string) error { // 打开图片文件 file, err := os.Open(imagePath) if err != nil { return err } defer file.Close() // 使用gift.New创建一个gift对象 g := gift.New( gift.Blur(3.0), // 模糊半径为3.0 ) // 使用gift类的Draw方法进行处理 srcImage, err := imaging.Decode(file) if err != nil { return err } dstImage := image.NewRGBA(g.Bounds(srcImage.Bounds())) g.Draw(dstImage, srcImage) // 保存处理后的图片 err = imaging.Save(dstImage, outputPath) if err != nil { return err } return nil }
When using the above code to blur an image, just call the BlurImage
function and pass in the image path and output path to be processed.
github.com/fogleman/gg
package, which can sharpen images. First, we need to import the gg
package in the code:
import ( "github.com/fogleman/gg" )
Then, we can sharpen the image through the following code:
func SharpenImage(imagePath string, outputPath string) error { // 打开图片文件 im, err := gg.LoadImage(imagePath) if err != nil { return err } // 创建一个新的Context dc := gg.NewContextForImage(im) // 使用Sharpen函数进行锐化处理 dc.Sharpen(0.5) // 锐化系数 // 保存处理后的图片 err = dc.SavePNG(outputPath) if err != nil { return err } return nil }
When using the above code to sharpen an image, you only need to call the SharpenImage
function and pass in the image path and output path to be processed.
Summary:
This article introduces how to use Golang to blur and sharpen images, and provides corresponding code examples. By using Golang's rich image processing library, we can easily implement various processing operations on images to meet image processing tasks with different needs. I hope readers can better use Golang for image processing through the introduction and sample code of this article.
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