White Papers

12 June 2020

This paper will analyse the benefits and drawbacks of traditional image processing and deep learning. It aims to provide clarity on the subject of deep learning, which can then help data scientists and industries choose the most suitable method depending on the task.

17 March 2020

Philipp Huber, Hans-Joachim Gelke and Matthias Rosenthal, from the Institute of Embedded Systems at Zurich University of Applied Sciences, describe a method for direct data transfer between a GPU and FPGA for real-time imaging

13 March 2020

When optical designers attempt to compare the performance of optical systems, a commonly used measure is modulation transfer function. In order to understand the significance of MTF, consider some general principles and practical examples for defining MTF including its components, importance, and characterisation

02 December 2019

Learn what kinds of inspection become possible with computational imaging. Includes a detailed overview of CI techniques used in machine vision and the components needed, and six application examples.

17 September 2019

Imaging systems are becoming ubiquitous in modern technology; camera-lens systems are almost everywhere you look. From smartphones to self-driving cars, our world is filled with computers that rely on machine vision to record, observe, and analyse their surroundings.