FSIM: A feature similarity index for image quality assessment
Image quality assessment (IQA) aims to use computational models to measure the image
quality consistently with subjective evaluations. The well-known structural similarity index …
quality consistently with subjective evaluations. The well-known structural similarity index …
No-reference image sharpness assessment in autoregressive parameter space
In this paper, we propose a new no-reference (NR)/blind sharpness metric in the
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
A fast reliable image quality predictor by fusing micro-and macro-structures
A fast reliable computational quality predictor is eagerly desired in practical image/video
applications, such as serving for the quality monitoring of real-time coding and transcoding …
applications, such as serving for the quality monitoring of real-time coding and transcoding …
Subjective and objective quality assessment of image: A survey
P Mohammadi, A Ebrahimi-Moghadam… - ar**/20101211_214_224.pdf" data-clk="hl=zh-CN&sa=T&oi=gga&ct=gga&cd=6&d=14709054651544683792&ei=DEunZ_y0BrzH6rQP1pvK8AE" data-clk-atid="EMUgD0YPIcwJ" target="_blank">[PDF] archive.org
An efficient color image quality metric with local-tuned-global model
This paper investigates the problem of full-reference (FR) image quality assessment (IQA). In
general, the ideal IQA metric should be effective and efficient, yet most of existing FR IQA …
general, the ideal IQA metric should be effective and efficient, yet most of existing FR IQA …
Contrast enhancement by automatic and parameter-free piecewise linear transformation for color images
CM Tsai, ZM Yeh - IEEE transactions on Consumer Electronics, 2008 - ieeexplore.ieee.org
Conventional contrast enhancement methods have four shortcomings. First, most of them
need transformation functions and parameters which are specified manually. Second, most …
need transformation functions and parameters which are specified manually. Second, most …
A deep learning-based pm2. 5 concentration estimator
K Sun, L Tang, JS Qian, G Wang, C Lou - Displays, 2021 - Elsevier
PM2. 5 does great harm to human beings. In particular, it can lead to an increase in human
lung cancer. In this paper, we propose a PM2. 5 concentration estimator based on deep …
lung cancer. In this paper, we propose a PM2. 5 concentration estimator based on deep …