使大的 TIFF 文件更小而不损失质量。删除不必要和未使用的数据。在代码中缩小 TIFF 文件的大小。 Python 库为开发人员提供了一个集成的 API 来优化 TIFF 内容。
Python 库是一个独立的解决方案，不需要安装任何第三方软件。
使用 'Aspose.Words for Python via .NET' 可以轻松实现无损压缩和深度内容优化。以下示例演示了如何优化 Python 中的 Python TIFF 文件的内容：
pip install aspose-words
import aspose.words as aw
doc = aw.Document()
builder = aw.DocumentBuilder(doc)
shape = builder.InsertImage("Input.tiff")
save_options = aw.saving.ImageSaveOptions(aw.SaveFormat.TIFF)
save_options.tiff_compression = aw.saving.TiffCompression.LZW
shape.get_shape_renderer().save("Output.tiff", save_options)
import aspose.words as aw
doc = aw.Document("Input.tiff")
doc.cleanup()
shapes = [node.as_shape() for node in doc.get_child_nodes(aw.NodeType.SHAPE, True)]
for shape in shapes:
if shape.isImage:
# 由开发者选择用于图像压缩的库。
image = Image.open(shape.image_data.to_stream())
# ...
# 压缩图像并将其设置回形状。
shape.image_data.set_image("yourCompressedImage")
save_options = aw.saving.PdfSaveOptions
save_options.cache_background_graphics = true
doc.save("Output.tiff", save_options)
import aspose.words as aw
doc = aw.Document("Input.tiff")
doc.cleanup()
shapes = [node.as_shape() for node in doc.get_child_nodes(aw.NodeType.SHAPE, True)]
for shape in shapes:
if shape.isImage:
# 由开发者选择用于图像压缩的库。
image = Image.open(shape.image_data.to_stream())
# ...
# 压缩图像并将其设置回形状。
shape.image_data.set_image("yourCompressedImage")
doc.save("Output.tiff")
import aspose.words as aw
doc = aw.Document("Input.tiff")
doc.cleanup()
shapes = [node.as_shape() for node in doc.get_child_nodes(aw.NodeType.SHAPE, True)]
for shape in shapes:
if shape.isImage:
# 由开发者选择用于图像压缩的库。
image = Image.open(shape.image_data.to_stream())
# ...
# 压缩图像并将其设置回形状。
shape.image_data.set_image("yourCompressedImage")
save_options = aw.saving.OoxmlSaveOptions
save_options.compression_level = aw.saving.CompressionLevel.MAXIMUM
doc.save("Output.tiff", save_options)
import aspose.words as aw
doc = aw.Document()
builder = aw.DocumentBuilder(doc)
shape = builder.InsertImage("Input.tiff")
save_options = aw.saving.ImageSaveOptions(aw.SaveFormat.TIFF)
save_options.tiff_compression = aw.saving.TiffCompression.LZW
shape.get_shape_renderer().save("Output.tiff", save_options)
import aspose.words as aw
renderer = aw.pdf2word.fixedformats.PdfFixedRenderer()
pdf_read_options = aw.pdf2word.fixedformats.PdfFixedOptions()
pdf_read_options.image_format = aw.pdf2word.fixedformats.FixedImageFormat.JPEG
pdf_read_options.jpeg_quality = 50
with open ("Input.tiff", 'rb') as pdf_stream:
pages_stream = renderer.save_pdf_as_images(pdf_stream, pdf_read_options);
builder = aw.DocumentBuilder()
for i in range(0, len(pages_stream)):
# 设置最大页面大小，避免当前页面图像缩放。
max_page_dimension = 1584
page_setup = builder.page_setup
set_page_size(page_setup, max_page_dimension, max_page_dimension)
page_image = builder.insert_image(pages_stream[i])
set_page_size(page_setup, page_image.width, page_image.height)
page_setup.top_margin = 0
page_setup.left_margin = 0
page_setup.bottom_margin = 0
page_setup.right_margin = 0
if i != len(pages_stream) - 1:
builder.insert_break(aw.BreakType.SECTION_BREAK_NEW_PAGE)
save_options = aw.saving.PdfSaveOptions()
save_options.cache_background_graphics = true
builder.document.save("Output.tiff", save_options)
def set_page_size(page_setup, width, height):
page_setup.page_width = width;
page_setup.page_height = height;
我们在PyPi存储库中托管我们的 Python 请按照有关如何 "Aspose.Words for Python via .NET" 安装到您的开发人员环境的分步说明进行操作。
这个包与 Python ≥3.5 和 <3.12 兼容。如果您为 Linux 开发软件，请查看产品文档中对 gcc 和 libpython 的附加要求。