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Computer Science > Computer Vision and Pattern Recognition

arXiv:2408.07541 (cs)
[Submitted on 14 Aug 2024]

Title:DifuzCam: Replacing Camera Lens with a Mask and a Diffusion
Model

Authors:Erez Yosef, Raja Giryes
View a PDF of the paper titled DifuzCam: Replacing Camera Lens with a
Mask and a Diffusion Model, by Erez Yosef and 1 other authors
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    Abstract:The flat lensless camera design reduces the camera size
    and weight significantly. In this design, the camera lens is
    replaced by another optical element that interferes with the
    incoming light. The image is recovered from the raw sensor
    measurements using a reconstruction algorithm. Yet, the quality
    of the reconstructed images is not satisfactory. To mitigate
    this, we propose utilizing a pre-trained diffusion model with a
    control network and a learned separable transformation for
    reconstruction. This allows us to build a prototype flat camera
    with high-quality imaging, presenting state-of-the-art results in
    both terms of quality and perceptuality. We demonstrate its
    ability to leverage also textual descriptions of the captured
    scene to further enhance reconstruction. Our reconstruction
    method which leverages the strong capabilities of a pre-trained
    diffusion model can be used in other imaging systems for improved
    reconstruction results.

Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial
          Intelligence (cs.AI); Image and Video Processing (eess.IV)
Cite as:  arXiv:2408.07541 [cs.CV]
          (or arXiv:2408.07541v1 [cs.CV] for this version)
          https://doi.org/10.48550/arXiv.2408.07541
          Focus to learn more
          arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Erez Yosef [view email]
[v1] Wed, 14 Aug 2024 13:20:52 UTC (6,336 KB)
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