我正在压缩一个用Java进行Jpeg压缩的图像,然后在存储之前调整它们的大小。我将存储空间保持为480
并根据宽高比计算height
,以保持原始height:width
比率相同。
这是我正在使用的代码
String inputImagePath = "1.JPG";
String outputImagePath = "Test Compression\\" + "1.JPG";
File imageFile = new File(inputImagePath);
File compressedImageFile = new File(outputImagePath);
int height = 640;
System.out.print("Conversion Start!\n");
if (imageFile != null)
{
InputStream is = new FileInputStream(imageFile);
OutputStream os = new FileOutputStream(compressedImageFile);
float quality = 0.2 f;
BufferedImage image = ImageIO.read(is);
double aspectRatio = (double) image.getWidth() / image.getHeight();
width = (int)(height * aspectRatio);
System.out.println("Original height = " + image.getHeight() + " Original width = " + image.getWidth());
System.out.println(" aspect ratio = " + aspectRatio);
System.out.println("height = " + height + " width = " + width + " aspect ratio = " + aspectRatio);
BufferedImage resizedImage = new BufferedImage(width, height, image.getType());
Graphics2D g = resizedImage.createGraphics();
g.drawImage(image, 0, 0, width, height, null);
g.dispose();
Iterator<ImageWriter> writers = ImageIO.getImageWritersByFormatName("jpg");
if (!writers.hasNext())
throw new IllegalStateException("No writers found");
ImageWriter writer = (ImageWriter) writers.next();
ImageOutputStream ios = ImageIO.createImageOutputStream(os);
writer.setOutput(ios);
ImageWriteParam param = writer.getDefaultWriteParam();
param.setCompressionMode(ImageWriteParam.MODE_EXPLICIT);
param.setCompressionQuality(quality);
writer.write(null, new IIOImage(resizedImage, null, null), param);
}
System.out.print("Conversion compete!");
这是图像元数据
以下是印刷内容:
Original height = 1920 Original width = 2560
aspect ratio = 1.3333333333333333
height = 480 width = 640
aspect ratio = 1.3333333333333333
我将代码应用于实际拥有width > height
的其他图片,而且我没有轮换问题。这个旋转问题只发生在height > width
的图像上据我所知,我的代码没有任何问题,我必须遗漏与getHeight()和getWidth()函数相关的内容。请帮帮我
答案 0 :(得分:3)
jpeg图像中可能存在旋转元数据,Java默认情况下无法识别。
看起来像jpeg属性中的Orientation : rotate 90
。
您需要第三方库来处理它,请参阅How to rotate JPEG images based on the orientation metadata?
答案 1 :(得分:1)
为了将来的参考资料,我完成了Sergey Grinev给出的参考资料并稍微修改了代码并获得了理想的结果。这是代码
Metadata metadata = ImageMetadataReader.readMetadata(imageFile);
Directory directory = metadata.getFirstDirectoryOfType(ExifIFD0Directory.class);
int orientation = 1;
try{
orientation = directory.getInt(ExifIFD0Directory.TAG_ORIENTATION);
} catch (MetadataException me) {
System.out.println("Could not get orientation");
}
int orgWidth = image.getWidth();
int orgHeight = image.getHeight();
double orgAspectRatio = (double)orgWidth/orgHeight;
AffineTransform affineTransform = new AffineTransform();
AffineTransformOp affineTransformOp;
BufferedImage orientedImage = new BufferedImage(image.getHeight(), image.getWidth(), image.getType());
boolean rotation = false;
switch (orientation) {
case 1:
orientedImage = image;
break;
case 2: // Flip X
affineTransform.scale(-1.0, 1.0);
affineTransform.translate(-orgWidth, 0);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 3: // PI rotation
affineTransform.translate(orgWidth, orgHeight);
affineTransform.rotate(Math.PI);
affineTransformOp = new AffineTransformOp(affineTransform,AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 4: // Flip Y
affineTransform.scale(1.0, -1.0);
affineTransform.translate(0, -orgHeight);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 5: // - PI/2 and Flip X
rotation = true;
affineTransform.rotate(-Math.PI / 2);
affineTransform.scale(-1.0, 1.0);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 6: // -PI/2 and -width
rotation = true;
affineTransform.translate(orgHeight, 0);
affineTransform.rotate(Math.PI/2);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 7: // PI/2 and Flip
rotation = true;
affineTransform.scale(-1.0, 1.0);
affineTransform.translate(-orgHeight, 0);
affineTransform.translate(0, orgWidth);
affineTransform.rotate(3 * Math.PI / 2);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
case 8: // PI / 2
rotation = true;
affineTransform.translate(0, orgWidth);
affineTransform.rotate(3 * Math.PI / 2);
affineTransformOp = new AffineTransformOp(affineTransform, AffineTransformOp.TYPE_BILINEAR);
orientedImage = affineTransformOp.filter(image, orientedImage);
break;
default:
orientedImage = image;
break;
}
double aspectRatio;
if(rotation){
aspectRatio = (double)orientedImage.getWidth()/orientedImage.getHeight();
width = outWidth;
height = (int)(width/aspectRatio);
}
else{
aspectRatio = (double)orientedImage.getWidth()/orientedImage.getHeight();
width = (int)(height*aspectRatio);
}