---
title: How Image Watermarking Works - Computerphile
link: https://www.youtube.com/watch?v=h6j_ixGnpiY
source: youtube-com-computerphile
published: 2026-10-22T13:00:06Z
updated: 2026-10-22T13:04:41Z
first_seen: 2026-10-22T17:33:41.202070908Z
authors:
- Computerphile
summary: "Image watermarks are a way to embed information into a picture, Dr Mike Pound takes us through Adobe's Trust Mark to explain the idea & covers some of the pros and cons. \n\n00:00 - Introduction: Watermarking Images vs Text\n00:28 - Steganography vs Watermarking & Metadata Limitations\n01:39 - Why Least Significant Bits (LSB) Fail\n04:04 - Deep Learning for Watermarks (Encoder-Decoder)\n05:37 - How Do We Detect & Read Embedded Codes?\n07:18 - Robust Watermarking: Training with Augmentations\n09:21 - Handling Any Image Size (Trustmark & 256px Base)\n11:36 - Live Demo: Watermarking an Image in Python\n13:40 - Stress Testing: Compression & Resizing\n15:48 - Extreme Edits: Cropping & Color Shifts\n17:23 - Adversarial Attacks: Copying Watermarks Between Images\n19:39 - AI Tracking, Provenance, & Digital Signatures\n\nComputerphile is supported by Jane Street. Learn more about them (and exciting career opportunities) at: https://jane-st.co/computerphile\n\nThis video was filmed and edited by Sean Riley.\n\nComputerphile is a sister project to Brady Haran's Numberphile. More at https://www.bradyharanblog.com"
content: extracted
html: 2026-10-22-how-image-watermarking-works-computerphile.html
remote_preview:
  url: https://i1.ytimg.com/vi/h6j_ixGnpiY/hqdefault.jpg
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---

Image watermarks are a way to embed information into a picture, Dr Mike Pound takes us through Adobe's Trust Mark to explain the idea & covers some of the pros and cons.

00:00 - Introduction: Watermarking Images vs Text\
00:28 - Steganography vs Watermarking & Metadata Limitations\
01:39 - Why Least Significant Bits (LSB) Fail\
04:04 - Deep Learning for Watermarks (Encoder-Decoder)\
05:37 - How Do We Detect & Read Embedded Codes?\
07:18 - Robust Watermarking: Training with Augmentations\
09:21 - Handling Any Image Size (Trustmark & 256px Base)\
11:36 - Live Demo: Watermarking an Image in Python\
13:40 - Stress Testing: Compression & Resizing\
15:48 - Extreme Edits: Cropping & Color Shifts\
17:23 - Adversarial Attacks: Copying Watermarks Between Images\
19:39 - AI Tracking, Provenance, & Digital Signatures

Computerphile is supported by Jane Street. Learn more about them (and exciting career opportunities) at: https://jane-st.co/computerphile

This video was filmed and edited by Sean Riley.

Computerphile is a sister project to Brady Haran's Numberphile. More at https://www.bradyharanblog.com