Evidence map›Paper›PMID 37208419›Full record

ArticleScientific reports2023

A dichotomy color quantization algorithm for the HSI color space.

Xia Yu, Huaiyu Zhuang, Yani Cui, Jiaxian Deng, Jia Ren, Haixia Long

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

6 authors.

Xia YuCollege of Information and Communication, Hainan University, Haikou, 570100, Hainan, China.
Huaiyu ZhuangChina Mobile Financial Technology Co., Ltd., Beijing, 100011, China.
Yani CuiCollege of Information and Communication, Hainan University, Haikou, 570100, Hainan, China. cyn0213@163.com.
Jiaxian DengCollege of Information and Communication, Hainan University, Haikou, 570100, Hainan, China.
Jia RenCollege of Information and Communication, Hainan University, Haikou, 570100, Hainan, China.
Haixia LongCollege of Information Science and Technology, Hainan Normal University, Haikou, 570100, Hainan, China.

Funding

Hainan Provincial Key R & D Plan ZDYF2020013Hainan Provincial key research and development plan of China No.ZDYF2021GXJS200Hainan Provincial Natural Science Foundation Innovation Research Team Project 620CXTD434Hainan Provincial Natural Science Foundation of China No.621QN241National Natural Science Foundation of China and Macau Science and Technology Development Joint Fund 61961160706 and 0066/2019/AFJThe High-level Talent Project of Hainan Provincial Natural Science Foundation 620RC557The National Natural Science Foundation of China No.62262019The program of the Scientific Research Foundation of Hainan University,KYQD(ZR)1859 KYQD(ZR)1859
6 · The paper itself

Abstract

Color quantization is used to obtain an image with the same number of pixels as the original but represented using fewer colors. Most existing color quantization algorithms are based on the Red Green Blue (RGB) color space, and there are few color quantization algorithms for the Hue Saturation Intensity (HSI) color space with a simple uniform quantization algorithm. In this paper, we propose a dichotomy color quantization algorithm for the HSI color space. The proposed color quantization algorithm can display images with a smaller number of colors than other quantization methods of RGB color space. The proposed algorithm has three main steps as follows: first, a single-valued monotonic function of the Hue (H) component in the from RGB color space to HSI color space (RGB-HSI) color space conversion is constructed, which can avoid the partition calculation of the H component in the RGB-HSI color space; second, an iterative quantization algorithm based on the single-valued monotonic function is proposed; and third, a dichotomy quantization algorithm is proposed to improve the iterative quantization algorithm. Both visual and numerical evaluations reveal that the proposed method presents promising quantization results.

Identifiers

PMID37208419
PMCPMC10199057

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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.