Enhance your camera testing expertise with Modular Transfer Function (MTF) insights
The demand for high-quality imaging technology is increasing, from mobile phones to medical equipment, cameras are integral to everyday life. However, achieving superior imaging quality requires in-depth understanding of factors beyond pixel count.
Our latest whitepaper, "Camera Imaging Quality Testing with MTF: A Complete Guide from Beginner to Professional", provides a thorough exploration of MTF principles, methodologies, and applications. By the end, you will even understand how to use Python code to calculate MTF using the edge-based spatial frequency response (e-SFR) method. Dive into the science and techniques used to evaluate and optimize imaging quality.
What you’ll find in our white paper
- Unpack the myth of pixel countLearn why pixel count alone doesn’t determine camera resolution and how other factors like lens specification and ISP algorithms come into play.
- Master spatial frequency conceptsUnderstand how spatial frequency impacts camera resolution and why it’s crucial for image quality testing.
- Gain step-by-step guidance on MTF measurementDiscover the ISO12233-compliant techniques, including e-SFR methods and Python-based calculations, to measure and interpret MTF results effectively.
- Explore practical applications across industriesExplore how MTF insights are applied in testing for mobile cameras, automotive systems, AR devices and more.
