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How to Enhance & Colorize Black & White Videos using A.I | TopazLabs & Photoshop Tutorial

Education


Introduction

Colorizing old black and white material using deep learning has gained popularity online. While there are many tools for colorizing still images, solutions for film footage are limited. In this tutorial, we explore a method using Video Enhance AI and Adobe Photoshop to automatically colorize old black and white footage without manual intervention.

To start, black and white footage is processed in Video Enhance AI to enhance quality and detail. The upscaled frames are then imported into Adobe Photoshop for automatic colorization using the colorize filter. By creating a droplet, this colorization process can be applied to all frames in the video, resulting in a colorized clip. The final step involves stitching the colorized frames into a single video using editing software like Adobe Premiere Pro.

The output is impressively colorized footage with accurate color assignments to various elements like humans, natural elements, vehicles, and buildings. While the method may be time-consuming, the results showcase the power of AI in reproducing true colors in black and white videos automatically.

Keywords

Colorizing, Black and White Videos, Deep Learning, Video Enhance AI, Adobe Photoshop, Automatic Colorization, Neural Filters, Enhancing Footage, Colorize Filter, Editing Software, Adobe Premiere Pro.

FAQ

  1. What software tools are used in the tutorial?
  • Video Enhance AI and Adobe Photoshop are used in the tutorial for enhancing and colorizing black and white videos.
  1. Is manual colorization required in this method?
  • No, the process involves automatic colorization using AI algorithms in Adobe Photoshop.
  1. How accurate is the colorization in the final output?
  • The colorization is impressively accurate, assigning true colors to various elements within the video frames.
  1. Can this method be applied to any video footage?
  • The method works best with high-quality footage, as lower quality or flickering footage may affect the colorization results.