blocks|key|2503316|text|这是因为eps_image.resize(new_size,+Image.ANTIALIAS)返回了一个调整大小的图像副本。因此，您必须将其存储在一个单独的变量中。只需更改：-|type|unstyled|depth|inlineStyleRanges|offset|length|style|CODE|entityRanges|data|2503317|eps_image.resize(new_size,+Image.ANTIALIAS)|code-block|syntax|javascript|2503318|至|2503319|eps_image+=+eps_image.resize(new_size,+Image.ANTIALIAS)|2503320|更新：-|BOLD|2503321|这些可能不能完全解决问题，但仍然会有所帮助。|2503322|2503323|您正在尝试将输出图像另存为.jpeg，这是一种有损压缩格式，因此在压缩/转换过程中会丢失信息(大部分情况下)。将输出文件扩展名更改为无损压缩格式，如.png，这样数据就不会在压缩过程中受到影响。此外，在Image.save()|unordered-list-item|2503324|You中将quality=95更改为quality=100使用Image.ANTIALIAS对图像进行重采样，这在放大图像时并不是很好(在较新的版本中它已被Image.LANCZOS取代，为了向后兼容，该子句仍然存在)。尝试使用Image.BICUBIC，它在放大图像时会产生非常好的结果(在大多数情况下)。|2503325|2503326|entityMap^0|4|17|0|0|0|0|0|4|0|0|0|D|5|22|4|2T|C|0|5|A|I|B|V|F|26|D|36|D|0|0^^$0|@$1|2|3|4|5|6|7|12|8|@$9|13|A|14|B|C]]|D|@]|E|$]]|$1|F|3|G|5|H|7|15|8|@]|D|@]|E|$I|J]]|$1|K|3|L|5|6|7|16|8|@]|D|@]|E|$]]|$1|M|3|N|5|H|7|17|8|@]|D|@]|E|$I|J]]|$1|O|3|P|5|6|7|18|8|@$9|19|A|1A|B|Q]]|D|@]|E|$]]|$1|R|3|S|5|6|7|1B|8|@]|D|@]|E|$]]|$1|T|3|-4|5|6|7|1C|8|@]|D|@]|E|$]]|$1|U|3|V|5|W|7|1D|8|@$9|1E|A|1F|B|C]|$9|1G|A|1H|B|C]|$9|1I|A|1J|B|C]]|D|@]|E|$]]|$1|X|3|Y|5|W|7|1K|8|@$9|1L|A|1M|B|C]|$9|1N|A|1O|B|C]|$9|1P|A|1Q|B|C]|$9|1R|A|1S|B|C]|$9|1T|A|1U|B|C]]|D|@]|E|$]]|$1|Z|3|-4|5|6|7|1V|8|@]|D|@]|E|$]]|$1|10|3|-4|5|6|7|1W|8|@]|D|@]|E|$]]]|11|$]]

It's because <code>eps_image.resize(new_size, Image.ANTIALIAS)</code> returns an resized copy of an image. Therefore you have to store it in a separate variable. Just change:-

<pre><code>eps_image.resize(new_size, Image.ANTIALIAS)
</code></pre>

to 

<pre><code>eps_image = eps_image.resize(new_size, Image.ANTIALIAS)
</code></pre>

UPDATE:-

These may not solve the problem completely, but still would help.

<ul>
<li>You are trying to save your output image as a <code>.jpeg</code>, which is a
lossy compression format, therefore information is lost during the
compression/transformation (for the most part). Change the output
file extension to a lossless compression format like <code>.png</code> so that
data would not be compromised during compression. Also change
<code>quality=95</code> to <code>quality=100</code> in <code>Image.save()</code></li>
<li>You are using <code>Image.ANTIALIAS</code> for resampling the image, which is
not that good when upscaling the image (it has been replaced by
<code>Image.LANCZOS</code> in newer version, the clause still exists for
backward compatibility). Try using <code>Image.BICUBIC</code>, which produces
quite favorable results (for the most part) when upscaling the image.</li>
</ul>

blocks|key|2503901|text|问题是PIL是光栅图像处理器，而不是矢量图像处理器。它在打开矢量图像(如EPS文件和SVG文件)时将其“栅格化”到网格上，因为它只能处理光栅。|type|unstyled|depth|inlineStyleRanges|offset|length|style|BOLD|entityRanges|data|2503902|如果该网格没有足够的分辨率，您将永远无法重新获得它。通常，它以100dpi的速度栅格化，所以如果你想制作更大的图像，你甚至需要在开始之前栅格化到更大的网格上。|2503903|比较：|2503904|from+PIL+import+Image

eps_image+=+Image.open('image.eps')
eps_image.save('a.jpg')|code-block|syntax|javascript|2503905|结果是540x720：|2503906|​|2503907|📷|atomic|2503908|2503909|还有这个：|2503910|from+PIL+import+Image

eps_image+=+Image.open('image.eps')
#+Rasterise+onto+4x+higher+resolution+grid
eps_image.load(scale=4)+++
eps_image.save('a.jpg')+|2503911|结果是2160x2880：|2503912|2503913|2503914|2503915|您现在有足够的质量来随心所欲地调整大小。|2503916|请注意，您根本不需要编写任何Python来完成这项工作-+ImageMagick将为您完成所有这些工作。它包含在大多数Linux发行版中，可用于macOS和Windows，您只需在终端中使用它即可。等效的命令如下所示：|2503917|magick+-density+400+input.eps+-resize+800x600+-quality+95++output.jpg|2503918|entityMap|0|IMAGE|mutability|IMMUTABLE|imageUrl|https://ask.qcloudimg.com/http-save/yehe-900000/eff298e4d83c6364c213d6af02632c6e.jpeg|imageAlt|1|https://ask.qcloudimg.com/http-save/yehe-900000/6bd8be94efdf36bfcc73456f805090af.jpeg^0|7|2|I|2|0|0|0|0|0|0|0|1|0|0|0|0|0|0|0|0|1|1|0|0|0|T|B|0|0^^$0|@$1|2|3|4|5|6|7|1M|8|@$9|1N|A|1O|B|C]|$9|1P|A|1Q|B|C]]|D|@]|E|$]]|$1|F|3|G|5|6|7|1R|8|@]|D|@]|E|$]]|$1|H|3|I|5|6|7|1S|8|@]|D|@]|E|$]]|$1|J|3|K|5|L|7|1T|8|@]|D|@]|E|$M|N]]|$1|O|3|P|5|6|7|1U|8|@]|D|@]|E|$]]|$1|Q|3|R|5|6|7|1V|8|@]|D|@]|E|$]]|$1|S|3|T|5|U|7|1W|8|@]|D|@$9|1X|A|1Y|1|1Z]]|E|$]]|$1|V|3|R|5|6|7|20|8|@]|D|@]|E|$]]|$1|W|3|X|5|6|7|21|8|@]|D|@]|E|$]]|$1|Y|3|Z|5|L|7|22|8|@]|D|@]|E|$M|N]]|$1|10|3|11|5|6|7|23|8|@]|D|@]|E|$]]|$1|12|3|R|5|6|7|24|8|@]|D|@]|E|$]]|$1|13|3|T|5|U|7|25|8|@]|D|@$9|26|A|27|1|28]]|E|$]]|$1|14|3|R|5|6|7|29|8|@]|D|@]|E|$]]|$1|15|3|16|5|6|7|2A|8|@]|D|@]|E|$]]|$1|17|3|18|5|6|7|2B|8|@$9|2C|A|2D|B|C]]|D|@]|E|$]]|$1|19|3|1A|5|L|7|2E|8|@]|D|@]|E|$M|N]]|$1|1B|3|-4|5|6|7|2F|8|@]|D|@]|E|$]]]|1C|$1D|$5|1E|1F|1G|E|$1H|1I|1J|-4]]|1K|$5|1E|1F|1G|E|$1H|1L|1J|-4]]]]

The problem is that PIL is a raster image processor, as opposed to a vector image processor. It "rasterises" vector images (such as your EPS file and SVG files) onto a grid when it opens them because it can only deal with rasters.

If that grid doesn't have enough resolution, you can never regain it. Normally, it rasterises at 100dpi, so if you want to make bigger images, you need to rasterise onto a larger grid before you even get started.

Compare:

<pre><code>from PIL import Image

eps_image = Image.open('image.eps')
eps_image.save('a.jpg')
</code></pre>

The result is 540x720:

<a href="https://i.stack.imgur.com/q6vaO.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/q6vaO.jpg" alt="enter image description here"></a>

And this:

<pre><code>from PIL import Image

eps_image = Image.open('image.eps')
# Rasterise onto 4x higher resolution grid
eps_image.load(scale=4) 
eps_image.save('a.jpg') 
</code></pre>

The result is 2160x2880:

<a href="https://i.stack.imgur.com/ufsLc.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/ufsLc.jpg" alt="enter image description here"></a>

You now have enough quality to resize however you like.

Note that you don't need to write any Python to do this at all - ImageMagick will do it all for you. It is included in most Linux distros and is available for macOS and Windows and you just use it in Terminal. The equivalent command is like this:

<pre><code>magick -density 400 input.eps -resize 800x600 -quality 95 output.jpg
</code></pre>

I'm trying to convert EPS images to JPEG using Pillow. But the results are of low quality. I'm trying to use <code>resize</code> method, but it gets completely ignored. I set up the size of JPEG image as <code>(3600, 4700)</code>, but the resulted image has <code>(360, 470)</code> size. My code is:

<pre><code>eps_image = Image.open('img.eps')
height = eps_image.height * 10
width = eps_image.width * 10
new_size = (height, width)
print(new_size) # prints (3600, 4700)
eps_image.resize(new_size, Image.ANTIALIAS)
eps_image.save(
 'img.jpeg',
 format='JPEG'
 dpi=(9000, 9000),
 quality=95)
</code></pre>

UPD. Vasu Deo.S noticed one my error, and thanks to him the JPG image has become bigger, but quality is still low. I've tried different DPI, sizes, resample values for <code>resize</code> function, but the result does not change much. How can i make it better?

<a href="https://i.stack.imgur.com/fj262.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/fj262.jpg" alt="enter image description here"></a>

How to adjust Pillow EPS to JPG quality

图像处理

Windows

Python

Linux

我正在尝试使用枕头将EPS图像转换为JPEG。但是结果的质量很低。我尝试使用resize方法，但它被完全忽略了。我将JPEG图像的大小设置为(3600, 4700)，但得到的图像具有(360, 470)大小。我的代码是：eps_image = Image.open('img.eps')height = eps_imag...

问如何将枕头EPS调整为JPG质量
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