Applications in Augmented Reality (AR)/ Virtual Reality (VR), security, smart wearables, and robotics
Researchers at Indian Institute of Technology (IIT) Madras and Rice University, U.S., have developed algorithms for lensless, miniature cameras. Such lensless cameras have numerous vision applications in areas such as Augmented Reality (AR)/ Virtual Reality (VR), security, smart wearables and robotics where cost, form-factor, and weight are major constraints. Due to the absence of a focusing element, the lensless camera captures a multiplexed or globally blurred measurement of the scene. IIT Madras and Rice University researchers have developed a deep learning algorithm for producing photo-realistic images from the blurred lensless capture. Researchers have now developed a computational solution to this problem. The team developed a de-blurring algorithm, which can correct the blurred images taken from a lensless camera. The findings were presented as a paper in the prestigious IEEE International Conference on Computer Vision and an extended version appeared in IEEE Transactions on Pattern Analysis and Machine Intelligence. This Research was led at IIT Madras by Dr. Kaushik Mitra, Assistant Professor, Department of Electrical Engineering. The research team included Salman Siddique Khan, Varun Sundar and Adarsh VR from IIT Madras. Prof. Ashok Veeraghavan led the Rice University team which included Dr. Vivek Boominathan and Mr. Jasper Tan.
“Existing algorithms to deblur images based on traditional optimization schemes yield low-resolution ‘noisy images.’ Our Research team used Deep Learning to develop a reconstruction algorithm called ‘FlatNet’ for lensless cameras which resulted in significant improvement over traditional optimization-based algorithms. FlatNet was tested on various real and challenging scenarios and was found to be effective in de-blurring images captured by the lensless camera”, Dr. Kaushik Mitra said. Further, Dr. Mitra said, “Lensless imaging is a new technology and its true potential in solving imaging/vision problems has not been exploited completely. Therefore, we are working on designing newer and better lensless cameras using data-driven techniques, devising efficient algorithms for doing inference on lensless captures and looking into interesting and important applications like endoscopy and smart surveillance, among other areas, where one can fully realize the benefits of lensless imaging.”
Source: Edited from India Science Wire