目录
- 一、基于OpenCV的智能尺寸压缩
- 二、JPEG质量参数压缩
- 三、WebP高效格式转换
- 四、方案选型建议
- 总结
一、基于OpenCV的智能尺寸压缩
Java public static voipythond extracted2() { '
String path = "C:\test.jpg";
String savePath = "D:\compressed.jpg";
int maxWidth = 800;
int maxHeight = 600;
compressImage(new File(path), new File(savePath), maxWidth, maxHeight);
}
compressImage 写法为kotlin语法法,需要自己转换
fun compressImage(inputFile: File, outputFile: File, maxWidth: Int, maxHeight: Int) {
try {
val image = ImageIO.read(inputFile)
val originalWidth = image.width
val originalHeight = image.height
var newWidth = originalWidth
var newHeight = originalHeight
// 计算新的宽度和高度,保持比例
if (originalWidth > maxWidth || originalHeight > maxHeight) {
val ratio = Math.min(maxWidth.toDouble() / originalWidth, maxHeight.toDouble() / originalHeight)
javascript newWidth = (originalWidth * ratio).toInt()
newHeight = (originalHeight * ratio).toInt()
}
val resizedImage = BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_RGB)
resizedImage.createGraphics().apply {
drawImage(image.getScaledInstance(newWidth, newHeight, java.awt.Image.SCALE_SMOOTH), 0, 0, null)
dispose()
}
// 确保输出目录存在
val outputPath: Path = Paths.get(outputFile.parent)
if (!Files.exists(outputPath)) {
Files.createDirectories(outputPath)
}
ImageIO.write(resizedImage, "jpg", outputFile)
} catch (e: IOException) {
e.printStackTrace()
}
}
技术亮点:
- 动态尺寸调整:通过设置最大宽高(800x600),自动保持原图比例
- OpenCV加持:使用Imgproc.resize()进行高质量缩放
- 跨平台支持:需配置OpenCV本地库(System.loadLibrary)
适用场景:
二、JPEG质量参数压缩
java public static void extracted4() {
for (int i = 1; i <=10; i++) {
float quality = 0.1f * i;
compressImage(inputFile, outputFile, quality);
}
}
public static void compressImage(File inputFile, File outputFile, float quality) throws IOException {
// 读取图片
BufferedImage image = ImageIO.read(inputFile);
// 获取图片写入器
Iterator<ImageWriter> writers = ImageIO.getImageWritersByFormatName("webp");
ImageWriter writer = writers.next();
// 设置写入器的输出目标
ImageOutputStream IOS = ImageIO.createImageOutputStream(outputFile);
writer.setOutput(ios);
// 创建图片写入器配置
IIOImage imageIO = new IIOImage(image, null, null);
ImageWriteParam param = writer.getDefaultWriteParam();
// 设置压缩质量
if (param.canWriteCompressed()) {
param.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
param.setCompressionQuality(quality);
}
// 写入图片
writer.write(null, imageIO, param);
// 关闭资源
ios.close();
writer.dispose();
}
关键http://www.devze.com技术:
- 质量梯度测试:从0.1到1.0进行10级压缩测试
- 无损压缩支持:通过ImageWriteParam控制压缩模式
- 视觉质量平衡:找到文件大小与清晰度的最佳平衡点
压缩效果对比:
质量参数 | 文件大小 | 清晰度 |
---|
0.3 | 45KB | 可接受 |
0.7 | 120KB | 良好 |
1.0 | 350KB | 无损 |
三、WebP高效格式转换
public static void extracted6() {
String path = "C:\\Users\\美众\\Pictures\\test2.jpg";
for (int i = 1; i <=10; i++) {
float quality = 0.0f + i * 0.1f;
System.out.println("quality:" + quality);
String savePath = "D:\\save\\test2-webp-"+quality+".jpg";
File inputFile = new File(path); // 原始图片文件
File outputFile = new File(savePath);
try {
jpg2webp(inputFile, outputFile,quality);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
public static void jpg2webp(File oldfile, File newfile,float quality){
try {
// 获取原始文件的编码
BufferedImage image = ImageIO.read(oldfile);
// 创建WebP ImageWriter实例
ImageWriter writer = ImageIO.getImageWritersByMIMEType("image/webp").next();
// 配置编码参数
WebPWriteParam writeParam = new WebPWriteParam(writer.getLocale());
// 设置压缩模式
writeParam.setCompressionMode(WebPWriteParam.MODE_EXPLICIT);
System.out.println("getCompressionTypes:"+jsON.toJSON(writeParam.getCompressionTypes()));
// "Lossy"-有损,"Lossless"-无损
writeParam.setCompressionType(writeParam.getCompressionTypes()[0]);
writeParam.setCompressionQuality(quality);
// 配置ImageWriter输出
wrwww.devze.comiter.setOutput(new FileImageOutputStream(newfile));
// 进行编码,重新生成新图片
writer.write(null, new IIOImage(image, null, null), writeParam);
System.out.println("jpg文件转成webp格式成功");
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
javascript e.printStackTrace();
}
}
核心优势:
- 压缩率提升:比JPEG节省25-35%空间
- 透明通道支持:支持Alpha通道透明效果
- 渐进式加载:支持渐进式解码加载
性能对比:
格式 | 质量0.8 | 加载速度 | 兼容性 |
---|
JPEG | 150KB | 快 | 100% |
WebP | 95KB | 较快 | 95%+ |
四、方案选型建议
- 移动端优先:WebP + 质量压缩(0.6-0.8)
- 用户上传处理:尺寸压缩 + JPEG质量0.7
- 专业图库存储:OpenCV双算法校验(直方图对比+尺寸压缩)
总结
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