Image Quality Engineer REF: IQ001
Spectral Edge, a well-funded start up with fantastic growth potential, is a specialist in image processing and computational photography. The company uses patented image fusion algorithms in combination with state of the art machine learning techniques to solve challenging image processing problems, including, among others, multi spectral fusion and multi sensor registration.
We are growing fast and are now looking for an individual with expertise in Image Quality metrics and techniques to develop our Image Quality team. You will lead our drive to produce the highest quality imaging solutions by fine tuning our image processing systems.
The key duties are:
Creating data sets of images for testing and training of our imaging systems
Developing and validating lab and real-world IQ tests to identify and solve image quality issues
Automating test procedures and documenting test results
Proposing system improvements
Analysis of image quality data
Tuning, testing and verification of our systems
Customer interactions on IQ, custom tuning of our image processing systems
The key skills are:
Familiarity with digital image processing algorithms such as auto-exposure, auto-white balancing and auto-focus
Knowledge of image quality metrics, measurement techniques and optimisation
Knowledge of IQ test programs such as Imatest
Experience with prototype and camera bench testing methodology
Good Matlab skills
First degree in Maths, Computer Science or related discipline
Good level of programming skills
This is a full-time position based in Cambridge. Our modern office in the Science Park, within walking distance of Cambridge North station, offers a range of facilities including a café on site.
For further information or to apply, please contact our HR Manager, Sue Handley Jones email@example.com 07566 271733
Spectral Edge is a specialist in Image Fusion, using patented algorithms known as “Phusion” to combine multi-spectral images or video into single images/videos in an aesthetically pleasing way. Applications include:
• Computational Photography on smartphones
• Video enhancement for content delivery, including assistive technology