https://lavryengineering.com/wiki/index.php?action=history&feed=atom&title=Lossy_data_compressionLossy data compression - Revision history2026-05-19T08:18:56ZRevision history for this page on the wikiMediaWiki 1.35.1https://lavryengineering.com/wiki/index.php?title=Lossy_data_compression&diff=158&oldid=prevBrad Johnson at 00:38, 25 February 20122012-02-25T00:38:42Z<p></p>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details." Most <nowiki>lossy data compression</nowiki> schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details." Most <nowiki>lossy data compression</nowiki> schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">See [[data compression]] for details.</ins></div></td></tr>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td></tr>
</table>Brad Johnsonhttps://lavryengineering.com/wiki/index.php?title=Lossy_data_compression&diff=157&oldid=prevBrad Johnson at 00:38, 25 February 20122012-02-25T00:38:02Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 00:38, 25 February 2012</td>
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<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The term <nowiki>"Lossy data compression"</nowiki> is used to describe a method where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data compression</nowiki> some of the original information is discarded. The result is that an ''approximation'' of the original information is encoded in the output data and the total amount of data is reduced (thus the term "compression").</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The term <nowiki>"Lossy data compression"</nowiki> is used to describe a method where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data compression</nowiki> some of the original information is discarded. The result is that an ''approximation'' of the original information is encoded in the output data and the total amount of data is reduced (thus the term "compression").</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details" <del class="diffchange diffchange-inline">and most </del>lossy data compression schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details<ins class="diffchange diffchange-inline">.</ins>" <ins class="diffchange diffchange-inline">Most <nowiki></ins>lossy data compression<ins class="diffchange diffchange-inline"></nowiki> </ins>schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td></tr>
</table>Brad Johnsonhttps://lavryengineering.com/wiki/index.php?title=Lossy_data_compression&diff=156&oldid=prevBrad Johnson at 00:37, 25 February 20122012-02-25T00:37:06Z<p></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 00:37, 25 February 2012</td>
</tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1" >Line 1:</td>
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<tr><td class='diff-marker'>−</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The term <nowiki>"Lossy data compression"</nowiki> is used to describe a <del class="diffchange diffchange-inline">process </del>where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data compression</nowiki> some of the original information is discarded. The result is that an ''approximation'' of the original information is encoded in the output data and the total amount of data is reduced (thus the term "compression").</div></td><td class='diff-marker'>+</td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The term <nowiki>"Lossy data compression"</nowiki> is used to describe a <ins class="diffchange diffchange-inline">method </ins>where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data compression</nowiki> some of the original information is discarded. The result is that an ''approximation'' of the original information is encoded in the output data and the total amount of data is reduced (thus the term "compression").</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details" and most lossy data compression schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details" and most lossy data compression schemes involve some form of [[perceptual coding]] based on research on human perception.</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td></tr>
<tr><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td><td class='diff-marker'> </td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[Category:Terminology]]</div></td></tr>
</table>Brad Johnsonhttps://lavryengineering.com/wiki/index.php?title=Lossy_data_compression&diff=155&oldid=prevBrad Johnson: Created page with "The term <nowiki>"Lossy data compression"</nowiki> is used to describe a process where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data com..."2012-02-25T00:36:34Z<p>Created page with "The term <nowiki>"Lossy data compression"</nowiki> is used to describe a process where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data com..."</p>
<p><b>New page</b></p><div>The term <nowiki>"Lossy data compression"</nowiki> is used to describe a process where processing is applied to data to reduce the total amount of data. In <nowiki>lossy data compression</nowiki> some of the original information is discarded. The result is that an ''approximation'' of the original information is encoded in the output data and the total amount of data is reduced (thus the term "compression").<br />
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What makes <nowiki>lossy data compression</nowiki> useful is the human mind's ability to "fill in the missing details" and most lossy data compression schemes involve some form of [[perceptual coding]] based on research on human perception.<br />
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[[Category:Terminology]]</div>Brad Johnson