Evidence map›Paper›PMID 37514648›Full record

ArticleSensors (Basel, Switzerland)2023

Adaptive Resolution Enhancement for Visual Attention Regions Based on Spatial Interpolation.

Zhixuan Zhu, Xin He, Chunlai Li, Shijie Liu, Kun Jiang, Kang Li, Jianyu Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zhixuan ZhuHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Xin HeHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Chunlai LiHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.ORCID 0000-0003-4364-6867
Shijie LiuHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Kun JiangHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Kang LiHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Jianyu WangHangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.ORCID 0000-0001-6611-8528

Funding

Hangzhou Institute for Advanced Study,University of Chinese Academy of Sciences No. B02006C019014Postdoctoral Preferential Funding of Zhejiang Province No. ZJ2022116
6 · The paper itself

Abstract

Resolution enhancement is crucial for human vision. However, it can be resource-consuming in the display pipeline. Therefore, there is a need to develop a lightweight resolution improvement algorithm specifically targeting visual attention regions. This paper presents a spatial-interpolation-based algorithm to improve the resolution of the visual attention area. The eye-tracking system consists of a near-infrared camera and an event camera is proposed to obtain the 3D gaze vector and eye moving trajectory. Secondly, the observation coordinates are obtained by gaze vectors, and the visual attention region is defined by the sensitive field-of-view angle. Then, interpolation-based adaptive spatial resolution enhancement and contrast enhancement adjustment are performed in the visual attention area. Finally, the feasibility of the proposed method is tested on both qualitative and quantitative dimensions. The experimental results demonstrate that the proposed method can significantly improve the visual effects.

Indexed as

eye trackingsuper resolutionvirtual realityvisual attention region

Identifiers

PMID37514648
PMCPMC10383032

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.