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Main Authors: Qiu, Chenxi, Yue, Tao, Hu, Xuemei
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2604.10619
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author Qiu, Chenxi
Yue, Tao
Hu, Xuemei
author_facet Qiu, Chenxi
Yue, Tao
Hu, Xuemei
contents High throughput video acquisition is a challenging problem and has been drawing increasing attention. Existing high throughput imaging systems splice hundreds of sub-images/videos into high throughput videos, suffering from extremely high system complexity. Alternatively, with pixel sizes reducing to sub-micrometer levels, integrating ultra-high throughput on a single chip is becoming feasible. Nevertheless, the readout and output transmission speed cannot keep pace with the increasing pixel numbers. To this end, this paper analyzes the strength of gradient cameras in fast readout and efficient representation, and proposes a low-bit gradient camera scheme based on existing technologies that can resolve the readout and transmission bottlenecks for high throughput video imaging. A multi-scale reconstruction CNN is proposed to reconstruct high-resolution images. Extensive experiments on both simulated and real data are conducted to demonstrate the promising quality and feasibility of the proposed method.
format Preprint
id arxiv_https___arxiv_org_abs_2604_10619
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle How to Design a Compact High-Throughput Video Camera?
Qiu, Chenxi
Yue, Tao
Hu, Xuemei
Computer Vision and Pattern Recognition
High throughput video acquisition is a challenging problem and has been drawing increasing attention. Existing high throughput imaging systems splice hundreds of sub-images/videos into high throughput videos, suffering from extremely high system complexity. Alternatively, with pixel sizes reducing to sub-micrometer levels, integrating ultra-high throughput on a single chip is becoming feasible. Nevertheless, the readout and output transmission speed cannot keep pace with the increasing pixel numbers. To this end, this paper analyzes the strength of gradient cameras in fast readout and efficient representation, and proposes a low-bit gradient camera scheme based on existing technologies that can resolve the readout and transmission bottlenecks for high throughput video imaging. A multi-scale reconstruction CNN is proposed to reconstruct high-resolution images. Extensive experiments on both simulated and real data are conducted to demonstrate the promising quality and feasibility of the proposed method.
title How to Design a Compact High-Throughput Video Camera?
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2604.10619