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@@ -18,10 +18,12 @@ import (
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"bytes"
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"context"
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"encoding/binary"
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"errors"
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"hash/crc32"
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"image"
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"io"
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"math"
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"math/big"
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baseimage "github.com/xiaoqidun/ofdgo/internal/base/image"
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"github.com/xiaoqidun/pdfgo"
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@@ -46,7 +48,7 @@ func outputImageFormat(data []byte) string {
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return ""
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}
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// optimizeImageResource 将可完整保留的BMP及TIFF转为PNG,再复用图像压缩和降采样策略
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// optimizeImageResource 优化可完整保留的BMP及TIFF,复用图像压缩和降采样策略
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// 原始模式及无法保留的色彩配置不转换,仅采用小于原始编码的结果
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// 入参: ctx 取消上下文, data 图片编码, options 压缩选项, size 像素需求
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// 返回: []byte 图片编码,可能引用输入, error 解码、编码或取消错误
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@@ -124,43 +126,51 @@ func optimizeBMPResource(ctx context.Context, data []byte, options CompressionOp
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}
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// optimizeRasterResource 编码已解码的资源图片,同步降采样后的像素密度,仅采用更小结果
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// 绝对密度图片先降采样再编码,密度按最终尺寸换算后量化为PNG整数
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// 先降采样再编码,绝对密度按最终尺寸量化,相对密度保留精确比例
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// 有密度时保留PNG,未知密度按最终像素选择编码格式
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// 入参: ctx 取消上下文, data 原编码, pixels 像素, options 压缩选项, size 像素需求, density 像素密度
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// 返回: []byte 图片编码, error 编码或取消错误
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func optimizeRasterResource(ctx context.Context, data []byte, pixels image.Image, options CompressionOptions, size image.Point, density rasterDensity) ([]byte, error) {
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hasDensity := density.x != 0 || density.y != 0
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if hasDensity && density.unit == 1 {
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before := pixels.Bounds()
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if options.Mode == CompressionLossy {
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var err error
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pixels, err = pdfgo.ResizeImage(ctx, pixels, size)
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if err != nil {
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return nil, err
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}
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}
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density.x *= float64(pixels.Bounds().Dx()) / float64(before.Dx())
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density.y *= float64(pixels.Bounds().Dy()) / float64(before.Dy())
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size = image.Point{}
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}
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var encoded bytes.Buffer
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limit := &outputCompressionBuffer{buffer: &encoded, limit: outputOptimizationBufferLimit}
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if err := pdfgo.EncodePNG(ctx, limit, pixels); err != nil {
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if limit.exceeded {
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return data, ctx.Err()
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}
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return nil, err
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}
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input := encoded.Bytes()
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if hasDensity && density.unit == 1 {
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before := pixels.Bounds().Size()
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if options.Mode == CompressionLossy {
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var err error
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input, err = pdfgo.OptimizeImageSize(ctx, input, options, size)
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pixels, err = pdfgo.ResizeImage(ctx, pixels, size)
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if err != nil {
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return nil, err
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}
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}
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if after := pixels.Bounds().Size(); hasDensity && before != after {
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if density.unit == 0 {
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ratio := new(big.Rat).SetFrac64(int64(density.x)*int64(after.X), int64(density.y)*int64(after.Y))
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ratio.Mul(ratio, new(big.Rat).SetFrac64(int64(before.Y), int64(before.X)))
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if ratio.Num().BitLen() > 31 || ratio.Denom().BitLen() > 31 {
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return data, ctx.Err()
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}
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density.x, density.y = float64(ratio.Num().Int64()), float64(ratio.Denom().Int64())
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} else {
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density.x *= float64(after.X) / float64(before.X)
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density.y *= float64(after.Y) / float64(before.Y)
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}
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}
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var candidate []byte
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var err error
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if hasDensity {
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var encoded bytes.Buffer
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err = pdfgo.EncodePNGWithOptions(ctx, &encoded, pixels, options)
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candidate = encoded.Bytes()
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} else {
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candidate, err = pdfgo.EncodeImageResource(ctx, pixels, options)
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}
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if err != nil {
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if errors.Is(err, io.ErrShortBuffer) {
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return data, ctx.Err()
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}
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return nil, err
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}
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if hasDensity {
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x, y := math.Round(density.x), math.Round(density.y)
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if x > math.MaxInt32 || y > math.MaxInt32 || density.x > 0 && x < 1 || density.y > 0 && y < 1 || len(input) > outputOptimizationBufferLimit-21 {
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if x > math.MaxInt32 || y > math.MaxInt32 || density.x > 0 && x < 1 || density.y > 0 && y < 1 || len(candidate) > outputOptimizationBufferLimit-21 {
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return data, ctx.Err()
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}
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chunk := make([]byte, 21)
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@@ -172,18 +182,10 @@ func optimizeRasterResource(ctx context.Context, data []byte, pixels image.Image
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binary.BigEndian.PutUint32(chunk[17:], crc32.ChecksumIEEE(chunk[4:17]))
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var output bytes.Buffer
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writer := imageMetadataWriter{writer: &output, skip: 33, data: chunk}
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if _, err := writer.Write(input); err != nil {
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return nil, err
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}
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input = output.Bytes()
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}
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candidate := input
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if !hasDensity || density.unit == 0 {
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var err error
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candidate, err = pdfgo.OptimizeImageResource(ctx, input, options, size)
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if err != nil {
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if _, err := writer.Write(candidate); err != nil {
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return nil, err
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}
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candidate = output.Bytes()
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}
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if err := ctx.Err(); err != nil {
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return nil, err
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