Naturalness Preserved Image Enhancement Using

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.

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.

Who cites it

6 citing papers in PubMed.

1. Low-Light Image Segmentation on Edge Computing System.Sensors (Basel, Switzerland) · 2026
   Article
2. Research on Defect Detection Method of Fusion Reactor Vacuum Chamber Based on Photometric Stereo Vision.Sensors (Basel, Switzerland) · 2024
   Article
3. Contrast and Synthetic Multiexposure Fusion for Image Enhancement.Computational intelligence and neuroscience · 2021
   Article
4. Enhancement of blurry retinal image based on non-uniform contrast stretching and intensity transfer.Medical & biological engineering & computing · 2020
   Article
5. A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model.Sensors (Basel, Switzerland) · 2018
   Article
6. Detection of Lane-Change Events in Naturalistic Driving Videos.International journal of pattern recognition and artificial intelligence · 2018
   Article

Corrections and comments

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

Authors and funding

2 authors.

Funding

Abstract

Indexed as