Researchers at Indian Institute of Technology (IIT) Madras and Rice University, U.S., have developed algorithms for lensless, miniature cameras.
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The lensless cameras have numerous vision applications in sectors including augmented reality, virtual reality, security, smart wearables and robotics where cost, form-factor and weight become major constraints.
Existing algorithms to deblur images based on traditional optimisation schemes yield low-resolution, ‘noisy’ images.
But IITM researchers used ‘Deep Learning’ to develop a reconstruction algorithm called FlatNet for lensless cameras resulting in significant improvement.
FlatNet was tested on various real and challenging scenarios and was found to be effective in de-blurring images captured by the lensless camera.
