From e9d6373c247f96666337b71eb75dac2043320cb1 Mon Sep 17 00:00:00 2001
From: Zhangdaoyi1 <18845895487@163.com>
Date: Mon, 21 Sep 2020 17:16:04 +0800
Subject: [PATCH] commit modified image package analysis
---
blog/image/image.md | 648 ++++++++++++++++++
...1\346\225\210\346\236\234\345\233\276.png" | Bin 0 -> 1099056 bytes
...4\345\274\217\350\275\254\346\215\242.png" | Bin 0 -> 1267031 bytes
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...7\350\264\235\346\225\210\346\236\234.png" | Bin 0 -> 209097 bytes
.../images/\346\270\220\345\217\230.png" | Bin 0 -> 1193705 bytes
...1\350\211\262\345\233\276\347\211\207.png" | Bin 0 -> 2962 bytes
...3\346\225\210\346\236\234\345\233\276.png" | Bin 0 -> 206374 bytes
...0\347\224\273\347\211\271\346\225\210.png" | Bin 0 -> 1308579 bytes
10 files changed, 648 insertions(+)
create mode 100644 blog/image/image.md
create mode 100644 "blog/image/images/Draw\346\226\271\346\263\225\351\200\273\350\276\221\346\225\210\346\236\234\345\233\276.png"
create mode 100644 "blog/image/images/RGBA\346\240\274\345\274\217\350\275\254\346\215\242.png"
create mode 100644 "blog/image/images/\345\233\276\347\211\207\345\220\210\346\210\220.png"
create mode 100644 "blog/image/images/\345\233\276\347\211\207\346\273\232\345\212\250\346\225\210\346\236\234.png"
create mode 100644 "blog/image/images/\346\213\267\350\264\235\346\225\210\346\236\234.png"
create mode 100644 "blog/image/images/\346\270\220\345\217\230.png"
create mode 100644 "blog/image/images/\347\224\237\346\210\220\345\275\251\350\211\262\345\233\276\347\211\207.png"
create mode 100644 "blog/image/images/\347\224\273\350\223\235\350\211\262\345\255\227\344\275\223\346\225\210\346\236\234\345\233\276.png"
create mode 100644 "blog/image/images/\350\222\231\347\211\210\347\224\273\347\211\271\346\225\210.png"
diff --git a/blog/image/image.md b/blog/image/image.md
new file mode 100644
index 0000000..cc62178
--- /dev/null
+++ b/blog/image/image.md
@@ -0,0 +1,648 @@
+# image package
+
+ 作用：image包实现了一个基本的2D图像库.
+
+~~~go
+func NewNRGBA
+
+func NewNRGBA(r Rectangle) *NRGBA
+~~~
+
+ NewNRGBA返回一个新的带有给定边界的NRGBA图像。NRGBA是一个内存中的图像，它的At方法返回颜色的NRGBA值。
+
+~~~go
+type NRGBA struct {
+
+ Pix []uint8
+
+ Stride int
+
+ Rect Rectangle
+
+}
+
+func (*NRGBA) Set
+
+func (p *NRGBA) Set(x, y int, c color.Color) //设定指定位置的color。
+
+func Rect
+
+func Rect(x0, y0, x1, y1 int) Rectangle //Rect是Rectangle的缩写{Pt(x0, y0), Pt(x1, y1)}.
+~~~
+
+# Image/draw包用法:
+
+ draw 包仅仅定义了一个操作：通过可选的蒙版图（mask image），把一个原始图片绘制到目标图片上，这个操作是出奇的灵活，可以优雅和高效的执行很多常见的图像处理任务，比如使用nil蒙版调用DrawMask，其代码如下：
+
+~~~go
+func Draw(dst Image, r image.Rectangle, src image.Image, sp image.Point, op Op)
+
+func DrawMask(dst Image, r image.Rectangle, src image.Image, sp image.Point,
+
+mask image.Image, mp image.Point, op Op)
+~~~
+
+ 第一个函数Draw是没有使用蒙版mask的调用方法，它内部其实就是调用的mask为 nil的方法，它的参数描述如下：
+
+ dst 是绘图的背景图，r是背景图的绘图区域，src 是要绘制的图，sp是src对应的绘图开始点(绘制的大小 r变量定义)，mask 是绘图时用的蒙版，控制替换图片的方式。mp是绘图时蒙版开始点（绘制的大小r变量定义了)
+
+ 下图就是几个相关的例子：
+
+ mask 蒙版是渐变
+
+ 
+
+ 给一个矩形填充颜色:
+
+ 使用 Draw方法的逻辑效果图：
+
+ 
+
+ 代码：
+
+~~~go
+ m := image.NewRGBA(image.Rect(0, 0, 640, 480))
+
+ blue := color.RGBA{0, 0, 255, 255}
+
+ draw.Draw(m, m.Bounds(), &image.Uniform{blue}, image.ZP, draw.Src)
+~~~
+
+ 拷贝图片的一部分效果特效如下：
+
+ 
+
+ 相关代码：
+
+~~~go
+ r := image.Rectangle{dp, dp.Add(sr.Size())} // 获得更换区域
+
+ draw.Draw(dst, r, src, sr.Min, draw.Src)
+~~~
+
+ 如果是复制整个图片，则更简单：
+
+~~~go
+ sr = src.Bounds() // 获取要复制图片的尺寸
+
+ r := sr.Sub(sr.Min).Add(dp) // 目标图的要剪切区域
+
+ draw.Draw(dst, r, src, sr.Min, draw.Src)
+~~~
+
+ 图片滚动效果如下图:
+
+ 
+
+ 假设我们需要把图片 m 上移20个像素.
+
+ 相关代码:
+
+~~~go
+ b := m.Bounds()
+
+ p := image.Pt(0, 20)
+
+ // 注意，尽管第二个参数是b，但由于剪切，有效矩形变小了。
+
+ draw.Draw(m, b, m, b.Min.Add(p), draw.Src)
+
+ dirtyRect := b.Intersect(image.Rect(b.Min.X, b.Max.Y-20, b.Max.X, b.Max.Y))
+~~~
+
+ 把一个图片转成RGBA格式，效果图:
+
+ 
+
+ 相关代码:
+
+~~~go
+ b := src.Bounds()
+
+ m := image.NewRGBA(b)
+
+ draw.Draw(m, b, src, b.Min, draw.Src)
+~~~
+
+ 通过蒙版画特效效果图
+
+ 
+
+相关代码
+
+~~~go
+ type circle struct {
+
+ p image.Point
+
+ r int
+
+ }
+
+ func (c *circle) ColorModel() color.Model {
+
+ return color.AlphaModel
+
+ }
+
+ func (c *circle) Bounds() image.Rectangle {
+
+ return image.Rect(c.p.X-c.r, c.p.Y-c.r, c.p.X+c.r, c.p.Y+c.r)
+
+ }
+
+
+
+ func (c *circle) At(x, y int) color.Color {
+
+ xx, yy, rr := float64(x-c.p.X)+0.5, float64(y-c.p.Y)+0.5, float64(c.r)
+
+ if xx*xx+yy*yy < rr*rr {
+
+ return color.Alpha{255}
+
+ }
+
+ return color.Alpha{0}
+
+ }
+
+ draw.DrawMask(dst, dst.Bounds(), src, image.ZP, &circle{p, r}, image.ZP, draw.Over)
+~~~
+
+注意,一个image对象只需要实现下面几个就可,这也就是Go接口强大的地方.
+
+~~~go
+ type Image interface {
+
+ // 返回图像的颜色模型。
+
+ ColorModel() color.Model
+
+ // Bounds返回一个可以返回非零颜色的域。
+
+ // 边界不一定包含点(0,0)。
+
+ Bounds() Rectangle
+
+ // 返回(x, y)处像素的颜色。
+
+ // At(Bounds().Min.X, Bounds().Min.Y) 返回网格左上角的像素的值。
+
+ // At(Bounds().Max.X-1, Bounds().Max.Y-1) 返回右下角的像素的值。
+
+ At(x, y int) color.Color
+
+ }
+~~~
+
+ 画一个字体
+
+ 效果图，画一个蓝色背景的字体。
+
+ 
+
+ 相关伪代码：
+
+~~~go
+ src := &image.Uniform{color.RGBA{0, 0, 255, 255}}
+
+ mask := theGlyphImageForAFont()
+
+ mr := theBoundsFor(glyphIndex)
+
+ draw.DrawMask(dst, mr.Sub(mr.Min).Add(p), src, image.ZP, mask, mr.Min, draw.Over)
+~~~
+
+# image/color包用法：
+
+ Color包实现了一个基本的颜色库：color是一个接口，它定义了可以被视为颜色的任何类型的最小方法集:可以转换为红色、绿色、蓝色和alpha值的颜色。转换可能是有损的，例如从CMYK或YCbCr颜色空间转换。其代码演示如下：
+
+~~~go
+type Color interface {
+
+ RGBA() (r, g, b, a uint32)
+
+}
+~~~
+
+ RGBA返回字母预先乘上的红色、绿色、蓝色和颜色的alpha值。每个值的范围都在[0,0xFFFF]内，但是由uint32表示，因此乘以一个直到0xFFFF的混合因子不会溢出。
+
+ 关于返回值有三个重要的点：首先，红色，绿色和蓝色是先预乘alpha：完全饱和的红色也是25%透明，由RGBA返回75%。第二，容器有16位:100%的红色是由RGBA返回一个65535的r的值，而不是255，所以从CMYK或YCbCr转换没有损耗。第三，返回的类型是uint32，将最大值设置为65535以保证两个值相乘不会溢出。
+
+ Image/color包还定义了许多实现color接口的具体类型。例如，RGBA是一个结构体，它代表了经典的“每个容器8位颜色”，代码如下:
+
+~~~go
+type RGBA struct {
+
+ R, G, B, A uint8
+
+}
+~~~
+
+ 不过要注意的是：RGBA的R字段是8位字符预乘范围[0,255]的颜色。RGBA通过将该值乘以0x101来满足颜色接口，从而在范围[0,65535]内生成一个16位的颜色。类似地，NRGBA结构类型表示一种8位的没有alpha预乘的颜色，就像PNG图像格式所使用的那样。当直接操作'NRGBA '的字段时，其值没有预乘alpha，但当调用RGBA方法时，返回值要预乘alpha。
+
+# Image/palette包用法：
+
+ 调色板这个包为提供为图像库提供了一个标准的调色板。
+
+Image/color/palette/gen.go：运行程序时会生成palette .go文件。
+
+Image/color/palette/generate.go：在生成palette.go文件时会自动运行。
+
+Image/color/palette/palette.go：定义了两种调色板——Plan9和WebSafe：
+
+ Plan9是一个256色的调色板，将24位RGB空间分割成4×4×4的细分，每个子立方体有4个阴影。与WebSafe相比，其想法是通过将颜色立方体切成更少的单元来降低颜色分辨率，并使用额外的空间来增加强度分辨率。这样就得到了16个灰色阴影(4个灰色子立方体，每个子立方体中有4个样本)，每种原色和副色的13个阴影(3个子立方体，4个样本加上黑色)，并合理地选择了覆盖颜色立方体其余部分的颜色。其优点是可以更好地表示连续色调。
+
+ WebSafe是一个216色的调色板，由于Netscape Navigator的早期版本而流行起来。它也被称为网景颜色多维数据集。
+
+# Image/gif包用法：
+
+ gif包实现了gif图片的解码及编码。
+
+~~~go
+func Decode(r io.Reader) (image.Image, error) //Decode从r中读取一个GIF图像，然后返回的image.Image是第一个嵌入的图。
+
+func DecodeConfig(r io.Reader) (image.Config, error) //DecodeConfig不需要解码整个图像就可以返回全局的颜色模型和GIF图片的尺寸。
+
+type Config struct {
+
+ ColorModel color.Model
+
+ Width, Height int
+
+}
+
+//Config返回图像的颜色model和尺寸
+func Encode(w io.Writer, m image.Image, o *Options) error //将图片m按照gif模式写入w中
+
+type Options struct {
+
+ // NumColors是图片中使用颜色的最大值，它的范围是1-256
+
+ NumColors int
+
+ // Quantizer经常被用来通过NumColors产生调色板，palette.Plan9 被用来替代nil Quantizer
+
+ Quantizer draw.Quantizer
+
+ // Drawer i用于将源图片转化为期望的调色板， draw.FloydSteinberg 用来替代一个空 Drawer.
+
+ Drawer draw.Drawer
+
+}
+func EncodeAll(w io.Writer, g *GIF) error //将图片按照帧与帧之间指定的循环次数和时延写入w中
+
+type GIF struct {
+
+ Image []*image.Paletted // 连续的图片
+
+ Delay []int // 连续的延迟时间，每一帧单位都是百分之一秒，delay中数值表示其两个图像动态展示的时间间隔
+
+ LoopCount int // 循环次数，如果为0则一直循环。
+
+}
+
+func DecodeAll(r io.Reader) (*GIF, error) //DecodeAll 从r上读取一个GIF图片，并且返回顺序的帧和时间信息
+~~~
+
+# image/jpeg包用法：
+
+ jpeg包实现了jpeg图片的编码和解码。
+
+~~~go
+func Decode(r io.Reader) (image.Image, error) //Decode读取一个jpeg文件，并将他作为image.Image返回
+
+ func DecodeConfig(r io.Reader) (image.Config, error) //无需解码整个图像，DecodeConfig变能够返回整个图像的尺寸和颜色（Config具体定义查看gif包中的定义）
+
+ func Encode(w io.Writer, m image.Image, o *Options) error //按照4:2:0的基准格式将image写入w中，如果options为空的话，则传递默认参数
+
+type Options struct {
+ Quality int
+}//Options是编码参数，它的取值范围是1-100，值越高质量越好
+
+type FormatError //用来报告一个输入不是有效的jpeg格式
+
+type FormatError string
+
+func (e FormatError) Error() string
+
+type Reader //不推荐使用Reader
+
+type Reader interface {
+ io.ByteReader
+ io.Reader
+}
+
+type UnsupportedError
+
+func (e UnsupportedError) Error() string //报告输入使用一个有效但是未实现的jpeg功能
+~~~
+
+# image/png包用法：
+
+ image/png实现了png图像的编码和解码。
+
+ png和jpeg实现方法基本相同，都是对图像进行了编码和解码操作。
+
+~~~go
+func Decode(r io.Reader) (image.Image, error) //Decode从r中读取一个图片，并返回一个image.image，返回image类型取决于png图片的内容
+
+func DecodeConfig(r io.Reader) (image.Config, error) //无需解码整个图像变能够获取整个图片的尺寸和颜色
+
+func Encode(w io.Writer, m image.Image) error //Encode将图片m以PNG的格式写到w中。任何图片都可以被编码，但是哪些不是image.NRGBA的图片编码可能是有损的。
+
+type FormatError
+
+func (e FormatError) Error() string //FormatError会提示一个输入不是有效PNG的错误。
+
+~~~
+
+ 由此可见，png和jpeg使用方法类似，只是两种不同的编码和解码方式。
+
+# 应用如下：
+
+## 1.生成图片：
+
+~~~go
+package main
+
+import "image"import "image/color"import "image/png"import "os"
+
+func main() {
+
+ //生成一个100X50的图像。
+
+ img := image.NewRGBA(image.Rect(0, 0, 100, 50))
+
+ // 在 (2, 3)处画一个红点。
+
+ img.Set(2, 3, color.RGBA{255, 0, 0, 255})
+
+ // 保存到out.png
+
+ f, _ := os.OpenFile("out.png", os.O_WRONLY|os.O_CREATE, 0600)
+
+ defer f.Close()
+
+ png.Encode(f, img)
+
+}
+~~~
+
+运行结果，就是生成了一张png文件。
+
+## 2.生成复杂色彩的图片：
+
+~~~go
+package main
+
+import (
+
+ "fmt"
+
+ "image"
+
+ "image/color"
+
+ "image/png"
+
+ "math"
+
+ "os"
+
+)
+
+type Circle struct {
+
+ X, Y, R float64
+
+}
+
+func (c *Circle) Brightness(x, y float64) uint8 {
+
+ var dx, dy float64 = c.X - x, c.Y - y
+
+ d := math.Sqrt(dx*dx+dy*dy) / c.R
+
+ if d > 1 {
+
+ return 0
+
+ } else {
+
+ return 255
+
+ }
+
+}
+
+func main() {
+
+ var w, h int = 280, 240
+
+ var hw, hh float64 = float64(w / 2), float64(h / 2)
+
+ r := 40.0
+
+ θ := 2 * math.Pi / 3
+
+ cr := &Circle{hw - r*math.Sin(0), hh - r*math.Cos(0), 60}
+
+ cg := &Circle{hw - r*math.Sin(θ), hh - r*math.Cos(θ), 60}
+
+ cb := &Circle{hw - r*math.Sin(-θ), hh - r*math.Cos(-θ), 60}
+
+ m := image.NewRGBA(image.Rect(0, 0, w, h))
+
+ for x := 0; x < w; x++ {
+
+ for y := 0; y < h; y++ {
+
+ c := color.RGBA{
+
+ cr.Brightness(float64(x), float64(y)),
+
+ cg.Brightness(float64(x), float64(y)),
+
+ cb.Brightness(float64(x), float64(y)),
+
+ 255,
+
+ }
+
+ m.Set(x, y, c)
+
+ }
+
+ }
+
+ f, err := os.OpenFile("rgb.png", os.O_WRONLY|os.O_CREATE, 0600)
+
+ if err != nil {
+
+ fmt.Println(err)
+
+ return
+
+ }
+
+ defer f.Close()
+
+ png.Encode(f, m)
+
+}
+~~~
+
+运行结果：
+ 
+
+## 3.获取一张图片的尺寸并生成略缩图
+
+~~~go
+import (
+ "fmt"
+ "github.com/nfnt/resize"
+ "image"
+ _ "image/gif"
+ _ "image/jpeg"
+ "image/png"
+ "math"
+ "os"
+ "path/filepath"
+ "time"
+)
+
+const DEFAULT_MAX_WIDTH float64 = 320
+const DEFAULT_MAX_HEIGHT float64 = 240
+
+// 计算图片缩放后的尺寸
+func calculateRatioFit(srcWidth, srcHeight int) (int, int) {
+ ratio := math.Min(DEFAULT_MAX_WIDTH/float64(srcWidth), DEFAULT_MAX_HEIGHT/float64(srcHeight))
+ return int(math.Ceil(float64(srcWidth) * ratio)), int(math.Ceil(float64(srcHeight) * ratio))
+}
+
+// 生成缩略图
+func makeThumbnail(imagePath, savePath string) (string, error) {
+
+ file, _ := os.Open(imagePath)
+ defer file.Close()
+
+ img, _, err := image.Decode(file)
+ if err != nil {
+ return err
+ }
+
+ b := img.Bounds()
+ width := b.Max.X
+ height := b.Max.Y
+
+ w, h := calculateRatioFit(width, height)
+
+ fmt.Println("width = ", width, " height = ", height)
+ fmt.Println("w = ", w, " h = ", h)
+
+ // 调用resize库进行图片缩放
+ m := resize.Resize(uint(w), uint(h), img, resize.Lanczos3)
+
+ // 需要保存的文件
+ imgfile, _ := os.Create(savePath)
+ defer imgfile.Close()
+
+ // 以PNG格式保存文件
+ err = png.Encode(imgfile, m)
+ if err != nil {
+ return err
+ }
+
+ return nil
+}
+~~~
+
+## 4.两张图片上下排列合成为一张新图片
+
+~~~go
+package main
+
+import (
+ "github.com/nfnt/resize"
+ "image"
+ "image/draw"
+ "image/jpeg"
+ "log"
+ "math"
+ "os"
+)
+
+const MaxWidth float64 = 600
+
+func fixSize(img1W, img2W int) (new1W, new2W int) {
+ var ( //为了方便计算，将两个图片的宽转为 float64
+ img1Width, img2Width = float64(img1W), float64(img2W)
+ ratio1, ratio2 float64
+ )
+
+ minWidth := math.Min(img1Width, img2Width) // 取出两张图片中宽度最小的为基准
+
+ if minWidth > 600 { // 如果最小宽度大于600，那么两张图片都需要进行缩放
+ ratio1 = MaxWidth / img1Width // 图片1的缩放比例
+ ratio2 = MaxWidth / img2Width // 图片2的缩放比例
+
+ // 原宽度 * 比例 = 新宽度
+ return int(img1Width * ratio1), int(img2Width * ratio2)
+ }
+
+ // 如果最小宽度小于600，那么需要将较大的图片缩放，使得两张图片的宽度一致
+ if minWidth == img1Width {
+ ratio2 = minWidth / img2Width // 图片2的缩放比例
+ return img1W, int(img2Width * ratio2)
+ }
+
+ ratio1 = minWidth / img1Width // 图片1的缩放比例
+ return int(img1Width * ratio1), img2W
+}
+
+func main() {
+ file1, _ := os.Open("001.jpg") //打开图片1
+ file2, _ := os.Open("002.jpg") //打开图片2
+ defer file1.Close()
+ defer file2.Close()
+
+ // image.Decode 图片
+ var (
+ img1, img2 image.Image
+ err error
+ )
+ if img1, _, err = image.Decode(file1); err != nil {
+ log.Fatal(err)
+ return
+ }
+ if img2, _, err = image.Decode(file2); err != nil {
+ log.Fatal(err)
+ return
+ }
+ b1 := img1.Bounds()
+ b2 := img2.Bounds()
+ new1W, new2W := fixSize(b1.Max.X, b2.Max.X)
+
+ // 调用resize库进行图片缩放(高度填0，resize.Resize函数中会自动计算缩放图片的宽高比)
+ m1 := resize.Resize(uint(new1W), 0, img1, resize.Lanczos3)
+ m2 := resize.Resize(uint(new2W), 0, img2, resize.Lanczos3)
+
+ // 将两个图片合成一张
+ newWidth := m1.Bounds().Max.X //新宽度 = 随意一张图片的宽度
+ newHeight := m1.Bounds().Max.Y + m2.Bounds().Max.Y // 新图片的高度为两张图片高度的和
+ newImg := image.NewNRGBA(image.Rect(0, 0, newWidth, newHeight)) //创建一个新RGBA图像
+ draw.Draw(newImg, newImg.Bounds(), m1, m1.Bounds().Min, draw.Over) //画上第一张缩放后的图片
+ draw.Draw(newImg, newImg.Bounds(), m2, m2.Bounds().Min.Sub(image.Pt(0, m1.Bounds().Max.Y)), draw.Over) //画上第二张缩放后的图片（这里需要注意Y值的起始位置）
+
+ // 保存文件
+ imgfile, _ := os.Create("003.jpg")
+ defer imgfile.Close()
+ jpeg.Encode(imgfile, newImg, &jpeg.Options{100})
+}
+~~~
+
+ 效果如下所示：
+
+
\ No newline at end of file
diff --git "a/blog/image/images/Draw\346\226\271\346\263\225\351\200\273\350\276\221\346\225\210\346\236\234\345\233\276.png" "b/blog/image/images/Draw\346\226\271\346\263\225\351\200\273\350\276\221\346\225\210\346\236\234\345\233\276.png"
new file mode 100644
index 0000000000000000000000000000000000000000..33e068c02c1d676433650744bdf948e1099057f2
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