eye-fidelity

What does Michael Freeman think of imsense processing?

Michael recently used the software and commented: 

“I've just revisited some images I'd previously processed using high-end photo-processing software.  With imsense, I can get a more natural result in a fraction of the time”.

Michael Freeman is an author, journalist and respected photographer who has written, photographed and published  over 100 books.

Michael's work can be found here.

imsense has developed revolutionary algorithms for processing image and video signals exhibiting vastly diverse dynamic range. Our algorithms' main strength is to overcome all dynamic range issues commonly encountered by photographers and moviemakers alike and faithfully rendering the appearance of the original scene. No matter where the signal originates from, the imsense processing will produce best-in-class outputs under any conditions, we call this eye-fidelity™.


eye-fidelity is based upon a new theory of image manipulation devised by Professor Graham Finlayson and his team at the UEA. The technology is applicable to any incoming dynamic range and is very robust to noise. The processing is both intelligent and autonomous, as it modifies scenes with dynamic range issues without user intervention. The sound mathematical foundations of eye-fidelity processing ensure its universality, i.e. it will process equally well images of any bit depth, in any format.

The main features of eye-fidelity vision processing are:

  • Scene Appearance: See What You Saw
  • Always On: no user intervention is required
  • Universal: from High Dynamic Range Imaging (HDRI) to still images to video
  • Very Fast: can run stills or video at sensor frame rates
  • Handheld Capable: does not need large amounts of memory
eye-fidelity renders images faithful to the image the eye saw. It ensures that detail is revealed whilst maintaining colour balance and integrity and the deliberate effects, such as region highlighting, employed by the photographer.

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