Computational Imaging Deep Optics For Single Shot Hdr Imaging Cvpr 2020

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020 In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based ap proaches and other psf engineering approaches.

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020 Deep optics for single shot high dynamic range imaging published in: 2020 ieee/cvf conference on computer vision and pattern recognition (cvpr) article #: date of conference: 13 19 june 2020. We present a single shot real time hdr imaging technique. high dynamic range information is spatially encoded in a single image using a learned optical element, creating streak like encodings, and a specialized reconstruction network to recover the hdr image from such measurements. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based ap proaches and other psf engineering approaches.

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020 In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based ap proaches and other psf engineering approaches. We validate our method in simulation, comparing it with alternative optical designs, sensor models, and single shot hdr approaches to show that it is better posed and can successfully recover challenging hdr scenes with dense highlights without fine tuning the exposure times. Single shot high dynamic range (hdr) imaging with advanced image quality for more generalized high dynamic range scenes is achieved from end to end optimization of a metasurface based off axis imaging system and a deep neural network. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In this paper, we present a novel hdr reconstruction method that employs a single pfa (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures.

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020

Computational Imaging Deep Optics For Single-shot HDR Imaging | CVPR 2020 We validate our method in simulation, comparing it with alternative optical designs, sensor models, and single shot hdr approaches to show that it is better posed and can successfully recover challenging hdr scenes with dense highlights without fine tuning the exposure times. Single shot high dynamic range (hdr) imaging with advanced image quality for more generalized high dynamic range scenes is achieved from end to end optimization of a metasurface based off axis imaging system and a deep neural network. In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In this paper, we present a novel hdr reconstruction method that employs a single pfa (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures.

Huang Single Image Super-Resolution 2015 CVPR Paper | PDF | Matrix (Mathematics) | Machine Learning

Huang Single Image Super-Resolution 2015 CVPR Paper | PDF | Matrix (Mathematics) | Machine Learning In extensive simulations and with a physical prototype, we demonstrate that this end to end deep optical imaging approach to single shot hdr imaging outperforms both purely cnn based approaches and other psf engineering approaches. In this paper, we present a novel hdr reconstruction method that employs a single pfa (polarimetric filter array) camera with an additional external polarizer to increase the scene’s dynamic range across the acquired channels and to mimic different exposures.

Deep Optics for Single-shot HDR Imaging (CVPR 2020)