10x lossless image compression for Eatrh Observaiton data
What is the mission of Dotphoton?
In the near future there will be more machines looking at images than humans. With exponential growth of AI and imaging technologies, raw high quality image data becomes a necessity. Such need is particularly present in the Earth Observation sector with hundreds of PB of data acquired yearly. Today’s compression solutions aren’t suited to the rapid growth of imaging in professional use: they either lose quality or don’t reduce image size enough to make a significant difference. Big image data storage and transfer costs are turning into a roadblock for technological and industrial advancements.
What does Dotphoton offer?
Dotphoton provides an image compression solution based on detailed and careful characterization of the image sensor at the single photon level. This knowledge is combined with quantum physics models in an algorithm that can compress raw image data while preserving raw quality and making sure that no artefacts are introduced. The internal know-how allows us to offer CPU, GPU or FPGA implementation.
What is the Space Tech behind it?
Earth observation generates vast amounts of data and analysis techniques are transitioning from human analysist to automated analysis systems with AI on the horizon. Dotphoton is working with ESA-European Space Agency on a software implementation of its algorithm for on-ground image storage and on a hardware implementation on satellite to reduce power consumption and reduce downlink costs.
What are the applications?
Dotphoton’s software meets the need for raw imagery to become more scalable and suitable for machine vision and AI in aerospace. Whilst still preserving the existing infrastructure, Dotphoton’s products help to speed up the image data transfer significantly, at the same time reduce the cost of storage and power consumption by a factor of 10.
How is Dotphoton supporting the UN SDGs?
We believe that on large systems, Dotphoton technology will enable data-heavy applications such as extensive use of multispectral/hyperspectral imaging, necessary for monitoring of agriculture and food production through EO data or HAPs. Hopefully the company can help to tackle few challenges on:
GOAL 7: Affordable and Clean Energy
GOAL 9: Industry, Innovation and Infrastructure
GOAL 11: Sustainable Cities and Communities
GOAL 12: Responsible Consumption and Production
GOAL 13: Climate Action
GOAL 14: Life Below Water
GOAL 15: Life on Land