CN115643811A - 一种图像处理方法、数据的获取方法及设备 - Google Patents

一种图像处理方法、数据的获取方法及设备 Download PDF

Info

Publication number
CN115643811A
CN115643811A CN202080039169.1A CN202080039169A CN115643811A CN 115643811 A CN115643811 A CN 115643811A CN 202080039169 A CN202080039169 A CN 202080039169A CN 115643811 A CN115643811 A CN 115643811A
Authority
CN
China
Prior art keywords
image data
weight
pixel
pixel point
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202080039169.1A
Other languages
English (en)
Inventor
杨晖
徐海松
鲁洋
叶正男
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Publication of CN115643811A publication Critical patent/CN115643811A/zh
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Image Processing (AREA)

Abstract

一种图像处理方法、数据的获取方法及设备,该方法可应用于图像处理领域,方法包括:获取被摄对象在照明光源的照射下的第一图像数据,第一图像数据包括m个像素点;根据第一权重数据,调整第一图像数据中第一像素点和第二像素点的像素值的大小,得到第二图像数据,第一权重数据包括与m个像素点一一对应的m个权重值,第一像素点对应的第一权重值高于第二像素点对应的第二权重值,与第一像素点对应的颜色的饱和度低于与第二像素点对应的颜色的饱和度;根据第二图像数据,确定照明光源的光谱信息。提供了从图像数据中直接获取光源的光谱信息的方案,不再需要通过高成本的专用测量仪器进行测量,节省了人工成本。

Description

PCT国内申请,说明书已公开。

Claims (24)

  1. PCT国内申请,权利要求书已公开。
CN202080039169.1A 2020-12-31 2020-12-31 一种图像处理方法、数据的获取方法及设备 Pending CN115643811A (zh)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2020/142327 WO2022141476A1 (zh) 2020-12-31 2020-12-31 一种图像处理方法、数据的获取方法及设备

Publications (1)

Publication Number Publication Date
CN115643811A true CN115643811A (zh) 2023-01-24

Family

ID=82258893

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202080039169.1A Pending CN115643811A (zh) 2020-12-31 2020-12-31 一种图像处理方法、数据的获取方法及设备

Country Status (2)

Country Link
CN (1) CN115643811A (zh)
WO (1) WO2022141476A1 (zh)

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101888487B (zh) * 2010-06-02 2012-03-14 中国科学院深圳先进技术研究院 高动态范围视频成像系统和图像生成方法
CN101917633B (zh) * 2010-09-01 2012-09-05 杭州海康威视软件有限公司 图像的白平衡处理方法、装置及摄像机
TWI537875B (zh) * 2015-04-08 2016-06-11 大同大學 影像合成方法與影像處理裝置
CN105516606A (zh) * 2016-01-21 2016-04-20 努比亚技术有限公司 拍照装置及方法
CN107239781B (zh) * 2017-05-03 2020-07-28 北京理工大学 一种基于rgb图像的超光谱反射率重建方法
CN109543701A (zh) * 2018-11-30 2019-03-29 长沙理工大学 视觉显著性区域检测方法及装置

Also Published As

Publication number Publication date
WO2022141476A1 (zh) 2022-07-07

Similar Documents

Publication Publication Date Title
CN111401516B (zh) 一种神经网络通道参数的搜索方法及相关设备
US20190108447A1 (en) Multifunction perceptrons in machine learning environments
WO2022179587A1 (zh) 一种特征提取的方法以及装置
CN113159147B (zh) 基于神经网络的图像识别方法、装置、电子设备
CN107145836B (zh) 基于栈式边界辨别自编码器的高光谱图像分类方法
WO2021218471A1 (zh) 一种用于图像处理的神经网络以及相关设备
CN111414915B (zh) 一种文字识别方法以及相关设备
WO2022022425A1 (en) Systems and methods for temperature measurement
US20230401838A1 (en) Image processing method and related apparatus
Chen et al. Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network
CN114359289A (zh) 一种图像处理方法及相关装置
CN113822207A (zh) 高光谱遥感图像识别方法、装置、电子设备及存储介质
Priya Henry et al. Convolutional neural-network-based classification of retinal images with different combinations of filtering techniques
CN113449548A (zh) 更新物体识别模型的方法和装置
CN116503677B (zh) 一种湿地分类信息提取方法、系统、电子设备及存储介质
CN113627421A (zh) 一种图像处理方法、模型的训练方法以及相关设备
CN113065634A (zh) 一种图像处理方法、神经网络的训练方法以及相关设备
Balmik et al. A robust object recognition using modified YOLOv5 neural network
Ambita et al. Locally adaptive regression kernels and support vector machines for the detection of pneumonia in chest X-ray images
Roy et al. Unconstrained texture classification using efficient jet texton learning
JP7225731B2 (ja) 多変数データシーケンスの画像化
CN115643811A (zh) 一种图像处理方法、数据的获取方法及设备
Wakhare et al. Using Image Processing and Deep Learning Techniques Detect and Identify Pomegranate Leaf Diseases
Garcia-Salgado et al. Parallel supervised land-cover classification system for hyperspectral and multispectral images
WO2023029559A1 (zh) 一种数据处理方法以及装置

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination