VEViD: Vision Enhancement via Virtual diffraction and coherent Detection
Callen MacPhee, Bahram Jalali

TL;DR
VEViD introduces a novel computational imaging paradigm that uses virtual diffraction and coherent detection algorithms to enhance images, especially in low-light and color scenarios, with high efficiency and real-time performance.
Contribution
This work presents a new algorithmic approach to image enhancement inspired by physical diffraction and detection, enabling real-time, high-quality vision improvements without retraining neural networks.
Findings
Achieves 4K video enhancement at 200 fps.
Improves object detection accuracy in low-light conditions.
Enhances color and low-light image quality effectively.
Abstract
The history of computing started with analog computers consisting of physical devices performing specialized functions such as predicting the trajectory of cannon balls. In modern times, this idea has been extended, for example, to ultrafast nonlinear optics serving as a surrogate analog computer to probe the behavior of complex phenomena such as rogue waves. Here we discuss a new paradigm where physical phenomena coded as an algorithm perform computational imaging tasks. Specifically, diffraction followed by coherent detection, not in its analog realization but when coded as an algorithm, becomes an image enhancement tool. Vision Enhancement via Virtual diffraction and coherent Detection (VEViD) introduced here reimagines a digital image as a spatially varying metaphoric light field and then subjects the field to the physical processes akin to diffraction and coherent detection. The…
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Taxonomy
TopicsImage Processing Techniques and Applications · Image Enhancement Techniques · Advanced Image Processing Techniques
