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    <title>PyPI recent updates for crmark</title>
    <link>https://pypi.org/project/crmark/</link>
    <description>Recent updates to the Python Package Index for crmark</description>
    <language>en</language>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/crmark/1.1.1/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Thu, 07 Aug 2025 07:55:54 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/crmark/1.1.0/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Wed, 23 Jul 2025 03:09:31 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/crmark/1.0.0/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Wed, 23 Jul 2025 02:57:09 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/crmark/0.1.3/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Tue, 22 Jul 2025 11:05:12 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/crmark/0.1.2/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Tue, 22 Jul 2025 10:54:31 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/crmark/0.1.1/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Fri, 23 May 2025 03:32:06 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/crmark/0.1.0/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Thu, 15 May 2025 13:35:09 GMT</pubDate>
    </item>    <item>
      <title>0.0.4</title>
      <link>https://pypi.org/project/crmark/0.0.4/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Wed, 14 May 2025 08:41:37 GMT</pubDate>
    </item>    <item>
      <title>0.0.3</title>
      <link>https://pypi.org/project/crmark/0.0.3/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Tue, 13 May 2025 05:18:12 GMT</pubDate>
    </item>    <item>
      <title>0.0.2</title>
      <link>https://pypi.org/project/crmark/0.0.2/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Tue, 13 May 2025 04:27:14 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/crmark/0.0.1/</link>
      <description>A robust reversible watermarking method that can robustly extract the watermark in lossy channels and perfectly recover both the cover image and the watermark in lossless channels.</description>
<author>chenoly@outlook.com</author>      <pubDate>Tue, 13 May 2025 02:53:24 GMT</pubDate>
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