在这件事上我都抓狂了。
如何将多页/多层TIFF图像拆分为几个单独的图像?
演示图像可用here。
(首选纯Java (即非本机)解决方案。如果解决方案依赖于商业化的库,这并不重要。)
发布于 2013-09-11 18:33:58
您可以使用TIFF高级成像库JAI来拆分多页,方法是使用以下ImageReader:
ImageInputStream is = ImageIO.createImageInputStream(new File(pathToImage));
if (is == null || is.length() == 0){
// handle error
}
Iterator<ImageReader> iterator = ImageIO.getImageReaders(is);
if (iterator == null || !iterator.hasNext()) {
throw new IOException("Image file format not supported by ImageIO: " + pathToImage);
}
// We are just looking for the first reader compatible:
ImageReader reader = (ImageReader) iterator.next();
iterator = null;
reader.setInput(is);然后你可以得到页数:
nbPages = reader.getNumImages(true);和单独阅读页面:
reader.read(numPage)发布于 2013-11-27 07:33:36
我在上面的示例中使用了我找到的一个名为imageio-tiff的tiff插件。
Maven依赖:
<dependency>
<groupId>com.tomgibara.imageio</groupId>
<artifactId>imageio-tiff</artifactId>
<version>1.0</version>
</dependency>我能够从tiff资源中获得缓冲的图像:
Resource img3 = new ClassPathResource(TIFF4);
ImageInputStream is = ImageIO.createImageInputStream(img3.getInputStream());
Iterator<ImageReader> iterator = ImageIO.getImageReaders(is);
if (iterator == null || !iterator.hasNext()) {
throw new IOException("Image file format not supported by ImageIO: ");
}
// We are just looking for the first reader compatible:
ImageReader reader = (ImageReader) iterator.next();
iterator = null;
reader.setInput(is);
int nbPages = reader.getNumImages(true);
LOGGER.info("No. of pages for tiff file is {}", nbPages);
BufferedImage image1 = reader.read(0);
BufferedImage image2 = reader.read(1);
BufferedImage image3 = reader.read(2);但随后我发现了另一个名为apache commons Maven dependency的项目:
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-imaging</artifactId>
<version>1.0-SNAPSHOT</version>
</dependency>在一行代码中,您可以获得缓冲的图像:
List<BufferedImage> bufferedImages = Imaging.getAllBufferedImages(img3.getInputStream(), TIFF4);
LOGGER.info("No. of pages for tiff file is {} using apache commons imaging", bufferedImages.size());然后写入文件sample:
final Map<String, Object> params = new HashMap<String, Object>();
// set optional parameters if you like
params.put(ImagingConstants.PARAM_KEY_COMPRESSION, new Integer(TiffConstants.TIFF_COMPRESSION_CCITT_GROUP_4));
int i = 0;
for (Iterator<BufferedImage> iterator1 = bufferedImages.iterator(); iterator1.hasNext(); i++) {
BufferedImage bufferedImage = iterator1.next();
LOGGER.info("Image type {}", bufferedImage.getType());
File outFile = new File("C:\\tmp" + File.separator + "shane" + i + ".tiff");
Imaging.writeImage(bufferedImage, outFile, ImageFormats.TIFF, params);
}实际上测试性能,apache要慢得多……
或者使用旧版本的iText,它要快得多:
private ByteArrayOutputStream convertTiffToPdf(InputStream imageStream) throws IOException, DocumentException {
Image image;
ByteArrayOutputStream out = new ByteArrayOutputStream();
Document document = new Document();
PdfWriter writer = PdfWriter.getInstance(document, out);
writer.setStrictImageSequence(true);
document.open();
RandomAccessFileOrArray ra = new RandomAccessFileOrArray(imageStream);
int pages = TiffImage.getNumberOfPages(ra);
for (int i = 1; i <= pages; i++) {
image = TiffImage.getTiffImage(ra, i);
image.setAbsolutePosition(0, 0);
image.scaleToFit(PageSize.A4.getWidth(), PageSize.A4.getHeight());
document.setPageSize(PageSize.A4);
document.newPage();
document.add(image);
}
document.close();
out.flush();
return out;
}发布于 2014-03-20 21:41:37
一种快速但非JAVA的解决方案是tiffsplit。它是libtiff库的一部分。
在tiff文件的所有层中拆分它的示例命令如下:
tiffsplit image.tif
手册页说明了一切:
NAME
tiffsplit - split a multi-image TIFF into single-image TIFF files
SYNOPSIS
tiffsplit src.tif [ prefix ]
DESCRIPTION
tiffsplit takes a multi-directory (page) TIFF file and creates one or more single-directory (page) TIFF files
from it. The output files are given names created by concatenating a prefix, a lexically ordered suffix in the
range [aaa-zzz], the suffix .tif (e.g. xaaa.tif, xaab.tif, xzzz.tif). If a prefix is not specified on the
command line, the default prefix of x is used.
OPTIONS
None.
BUGS
Only a select set of ‘‘known tags’’ is copied when splitting.
SEE ALSO
tiffcp(1), tiffinfo(1), libtiff(3TIFF)
Libtiff library home page: http://www.remotesensing.org/libtiff/https://stackoverflow.com/questions/17770071
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