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Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study
Journal of Computer and Communications, 2019 Quality is a very important parameter for all objects and their functionalities. In image-based object recognition, image quality is a prime criterion. For authentic image quality evaluation, ground truth is required.
Umme Sara +2 more
semanticscholar +1 more source
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature ...
Karrar Hameed Abdulkareem +6 more
doaj +1 more source
Image utility assessment and a relationship with image quality assessment [PDF]
SPIE Proceedings, 2009 Present quality assessment (QA) algorithms aim to generate scores for natural images consistent with subjective scores for the quality assessment task. For the quality assessment task, human observers evaluate a natural image based on its perceptual resemblance to a reference.
Rouse, David +3 more
openaire +1 more source
Objective Evaluation Criteria for Shooting Quality of Stereo Cameras over Short Distance [PDF]
, 2015 Stereo cameras are the basic tools used to obtain stereoscopic image pairs, which can lead to truly great image quality. However, some inappropriate shooting conditions may cause discomfort while viewing stereo images.
Jiachen Yang, Rongrong Chu, Yun Liu
core +2 more sources
NTIRE 2022 Challenge on Perceptual Image Quality Assessment [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022.
Jinjin Gu +6 more
semanticscholar +1 more source
CT Lilun yu yingyong yanjiu, 2022 Purpose: To compare the effect of radiation dose and tube potential on image quality of CT through the task-based image quality assessment parameters. Methods: We scanned Gammex 464 (the ACR quality assurance phantom) with GE Revolution Apex CT.
Zhengjun YANG +7 more
doaj +1 more source
No-Reference Image Quality Assessment and Application Based on Spatial Domain Coding
IEEE Access, 2018 Aiming at the problem that a no-reference (NR) image quality assessment algorithm is not accurate enough to predict the image quality at present, we proposed a method of NR image quality assessment based on spatial domain coding (SDC).
Chen Yong, Fang Hao, Liu Huanlin
doaj +1 more source
Image Restoration Quality Assessment Based on Regional Differential Information Entropy
Entropy, 2023 With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in detail
Zhiyu Wang +5 more
doaj +1 more source
Perceptual Image Quality Assessment with Transformers [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021 In this paper, we propose an image quality transformer (IQT) that successfully applies a transformer architecture to a perceptual full-reference image quality assessment (IQA) task.
Manri Cheon +3 more
semanticscholar +1 more source
Quality Assessment of SAR-to-Optical Image Translation
Remote Sensing, 2020 Synthetic aperture radar (SAR) images contain severe speckle noise and weak texture, which are unsuitable for visual interpretation. Many studies have been undertaken so far toward exploring the use of SAR-to-optical image translation to obtain near ...
Jiexin Zhang +4 more
doaj +1 more source