Visual Attention and ODE-inspired Fusion Network for image dehazing
S Yin, X Yang, R Lu, Z Deng, YH Yang - Engineering Applications of …, 2024 - Elsevier
Image dehazing is an improtant image pre-processing step for many computer vision tasks
with many proposed methods using convolutional neural networks. Ordinary Differential …
with many proposed methods using convolutional neural networks. Ordinary Differential …
A method for the evaluation of image quality according to the recognition effectiveness of objects in the optical remote sensing image using machine learning …
Objective and effective image quality assessment (IQA) is directly related to the application
of optical remote sensing images (ORSI). In this study, a new IQA method of standardizing …
of optical remote sensing images (ORSI). In this study, a new IQA method of standardizing …
[PDF][PDF] Image quality assessment employing RMS contrast and histogram similarity.
MAA Bhuiyan, AR Khan - Int. Arab J. Inf. Technol., 2018 - ccis2k.org
This paper presents a new approach for evaluating image quality. The method is based on
the histogram similarity computation between images and is organized with assessing …
the histogram similarity computation between images and is organized with assessing …
Color distortion and edge feature for perceptual quality assessment
The color distortion effect has an important impact on the perceived quality, which is ignored
in previous related works. Unified with the color distortion outcome and edge similarity, a …
in previous related works. Unified with the color distortion outcome and edge similarity, a …
Full-reference image quality assessment scheme based on deformed pixel and gradient similarity
Image quality assessment (IQA) is important for numerous image processing measures,
such as reproduction, restoration, enhancement, compression and acquisition. In this paper …
such as reproduction, restoration, enhancement, compression and acquisition. In this paper …
Full-reference image quality assessment measure based on color distortion
The purpose of this paper is to introduce a new method for image quality assessment (IQA).
The method adopted here is assumed to be Full-reference measure. Color images that are …
The method adopted here is assumed to be Full-reference measure. Color images that are …
Evaluation de la qualité d'image
ZA Seghir - 2012 - theses.hal.science
Dans ce travail nous avons proposé une nouvelle mesure objective avec référence
complète. Celle-ci est basée sur l'information contour et région et les pixels déformés et …
complète. Celle-ci est basée sur l'information contour et région et les pixels déformés et …
Perceptual image quality assessment based on gradient similarity and Ruderman operator
In this work, a new metric for image quality assessment is suggested, which provides more
suppleness than previous measures in using Ruderman operator, visual region of interest …
suppleness than previous measures in using Ruderman operator, visual region of interest …
Blind image quality metric for blurry and noisy image
In this paper, an objective assessment of image quality is considered. Principal human eyes
function is to take out the region or edge information from the vision field. Based on this …
function is to take out the region or edge information from the vision field. Based on this …
Image quality assessment scheme based on gradient similarity and color distortion
Image quality assessment (IQA) is important for numerous image processing measures,
such as reproduction, restoration, enhancement, compression and acquisition. In this paper …
such as reproduction, restoration, enhancement, compression and acquisition. In this paper …