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自动化研究所 [4]
长春光学精密机械与物... [3]
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OAI收割 [17]
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期刊论文 [11]
会议论文 [6]
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Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment
期刊论文
OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218
作者:
Wen-Han Zhu
;
Wei Sun
  |  
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/04/22
Image quality assessment (IQA)
no-reference (NR)
structural computational modeling
human visual system
visual feature extraction
Blind image quality assessment via learnable attention-based pooling
期刊论文
OAI收割
PATTERN RECOGNITION, 2019, 卷号: 91, 页码: 332-344
作者:
Gu, Jie
;
Meng, Gaofeng
;
Xiang, Shiming
;
Pan, Chunhong
  |  
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2019/05/15
Image quality assessment
Perceptual image quality
Visual attention
Convolutional neural network
Learnable pooling
Deep Aesthetic Quality Assessment With Semantic Information
期刊论文
OAI收割
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 3, 页码: 1482-1495
作者:
Yueying Kao
;
Ran He
;
Kaiqi Huang
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2017/05/05
Visual Aesthetic Quality Assessment
Semantic Information
Multi-task Learning
Free-Energy Principle Inspired Video Quality Metric and Its Use in Video Coding
期刊论文
OAI收割
IEEE TRANSACTIONS ON MULTIMEDIA, 2016, 卷号: 18, 期号: 4, 页码: 590-602
作者:
Xu, Long
;
Lin, Weisi
;
Ma, Lin
;
Zhang, Yongbing
;
Fang, Yuming
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2016/11/01
Free-energy principle
perceptual video coding optimization
video coding
visual quality assessment (VQA)
Binocular vision based objective quality assessment method for stereoscopic images
期刊论文
OAI收割
MULTIMEDIA TOOLS AND APPLICATIONS, 2015, 卷号: 74, 期号: 18, 页码: 8197-8218
作者:
Jiang, Gangyi
;
Zhou, Junming
;
Yu, Mei
;
Zhang, Yun
;
Shao, Feng
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2019/12/13
Stereoscopic image
Objective quality assessment
Human visual system
Binocular fusion
Binocular suppression
Human visual system consistent quality assessment for remote sensing image fusion
期刊论文
OAI收割
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 卷号: 105, 页码: 79-90
作者:
Liu, Jun
;
Huang, Junyi
;
Liu, Shuguang
;
Li, Huali
;
Zhou, Qiming
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2018/03/15
Image Fusion
Quality Assessment
Human Visual System
Gaussian Scale Space
Spatial Quality Index
Spectral Quality Index
Visual Aesthetic Quality Assessment with a Regression Model
会议论文
OAI收割
Quebec, Canada, 2015-09-01
作者:
Yueying Kao
;
Chong Wang
;
Kaiqi Huang
  |  
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2016/12/30
Agriculture
feature Extraction
image Analysis
predictive Models
quality Assessment
visual Systems
visualization
aesthetic Image Analysis
convolutional Neural Network
regression
Assessing street-level urban greenery using Google Street View and a modified green view index
期刊论文
OAI收割
URBAN FORESTRY & URBAN GREENING, 2015, 卷号: 14, 期号: 3, 页码: 59-76
作者:
Li, Xiaojiang
;
Zhang, Chuanrong
;
Li, Weidong
;
Ricard, Robert
;
Meng, Qingyan
收藏
  |  
浏览/下载:62/0
  |  
提交时间:2016/04/20
Green view index (GVI)
Google Street View (GSV)
Landscape assessment
Street greenery
Visual quality
The visual evaluation of soil structure under arable management
期刊论文
OAI收割
SOIL & TILLAGE RESEARCH, 2013, 卷号: 134, 页码: 1-10
作者:
Askari, Mohammad Sadegh
;
Cui, Junfang
;
Holden, Nicholas M.
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2015/03/16
Visual assessment
VESS
Soil quality
Soil structure
Tillage systems
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle
会议论文
OAI收割
5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013
作者:
Fan XP(范晓鹏)
;
Cai TF(蔡铁峰)
;
Zhu F(朱枫)
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2013/12/26
The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.