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Researchers Develop Algorithm for Lensless, Miniature Cameras

Researchers Develop Algorithm for Lensless, Miniature Cameras

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.

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