Image restoration of 2000s Egyptian movies

mopi47: <p>in the 2000s, there is a huge difference between the image quality of movies produced in the west versus the ones produced locally in Egypt.<br>
my point of this post is understand if there is any technologies available to restore Egyptian movies.<br>
First I’ll start by showcasing the quality of images, I can’t even describe precisely what these images suffer from, so I will need your help with that. Personally I think it’s combination of low quality images (due to the camera used) and somewhat a heavy compression as most of these movies are reuploads to the internet (correct me if I’m wrong)<br>
image 1: Saeedi Fi El Gamaa El Amrekiia (1998)<br>
link to watch : <a href="https://www.dailymotion.com/video/x8ggfik" rel="noopener nofollow ugc">https://www.dailymotion.com/video/x8ggfik</a><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/0/d/0d26e60004ebdb8fe680122b68d872f41bc934b1.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/0d26e60004ebdb8fe680122b68d872f41bc934b1" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/0/d/0d26e60004ebdb8fe680122b68d872f41bc934b1_2_690x395.jpeg" alt="image" data-base62-sha1="1SlxTgikJxkioB75MPr1VckGppf" width="690" height="395" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/0/d/0d26e60004ebdb8fe680122b68d872f41bc934b1_2_690x395.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/0/d/0d26e60004ebdb8fe680122b68d872f41bc934b1_2_1035x592.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/0/d/0d26e60004ebdb8fe680122b68d872f41bc934b1_2_1380x790.jpeg 2x" data-dominant-color="5F5E5B"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1438×825 69.9 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>image 2: Saheb Sahbo (2002)<br>
link to watch : <a href="https://www.dailymotion.com/video/x8onndj" rel="noopener nofollow ugc">https://www.dailymotion.com/video/x8onndj</a><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/2/6/26add4eb390752751ec7944db680d686e02e1820.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/26add4eb390752751ec7944db680d686e02e1820" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/2/6/26add4eb390752751ec7944db680d686e02e1820_2_690x431.jpeg" alt="image" data-base62-sha1="5wazKtCEDHuVJq1GzIbAhNyvZss" width="690" height="431" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/2/6/26add4eb390752751ec7944db680d686e02e1820_2_690x431.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/2/6/26add4eb390752751ec7944db680d686e02e1820_2_1035x646.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/original/3X/2/6/26add4eb390752751ec7944db680d686e02e1820.jpeg 2x" data-dominant-color="6B6666"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1355×847 94.3 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>image 3: Askar au camp (2003)<br>
link to watch: <a href="https://www.dailymotion.com/video/x8gp65g" rel="noopener nofollow ugc">https://www.dailymotion.com/video/x8gp65g</a><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://discuss.pytorch.org/uploads/default/original/3X/e/6/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67.jpeg" data-download-href="https://discuss.pytorch.org/uploads/default/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67" title="image"><img src="https://discuss.pytorch.org/uploads/default/optimized/3X/e/6/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67_2_690x372.jpeg" alt="image" data-base62-sha1="wSmLs9wuFKf6IcmooNILGW9glKv" width="690" height="372" srcset="https://discuss.pytorch.org/uploads/default/optimized/3X/e/6/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67_2_690x372.jpeg, https://discuss.pytorch.org/uploads/default/optimized/3X/e/6/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67_2_1035x558.jpeg 1.5x, https://discuss.pytorch.org/uploads/default/optimized/3X/e/6/e66adc3e1a12a98877fdbdfdf4a214bba1d85c67_2_1380x744.jpeg 2x" data-dominant-color="5D6470"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1571×848 84.3 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>

marksaroufim: <p>Yes in general the problem you’re looking at is called Super Resolution so google that term + PyTorch, you’re gonna get a bunch of different models, try them out and see what works for you. Good luck this sounds like a fun project</p>