Results 11 to 20 of about 2,327,998 (70)

Transformer For Image Quality Assessment [PDF]

open access: yes2021 IEEE International Conference on Image Processing (ICIP), 2021
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area. In this paper we investigate the application of Transformer in Image Quality (TRIQ) assessment. Following the original Transformer encoder employed in Vision Transformer (ViT), we propose an architecture ...
Jari Korhonen, Junyong You
openaire   +3 more sources

On color image quality assessment using natural image statistics

open access: yes, 2014
Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for grayscale images.
Abdelouahad, Abdelkaher Ait   +3 more
core   +1 more source

A reduced-reference perceptual image and video quality metric based on edge preservation [PDF]

open access: yes, 2012
In image and video compression and transmission, it is important to rely on an objective image/video quality metric which accurately represents the subjective quality of processed images and video sequences.
AL Yarbus   +27 more
core   +1 more source

Quality Classified Image Analysis with Application to Face Detection and Recognition

open access: yes, 2018
Motion blur, out of focus, insufficient spatial resolution, lossy compression and many other factors can all cause an image to have poor quality. However, image quality is a largely ignored issue in traditional pattern recognition literature.
Qiu, Guoping   +3 more
core   +1 more source

Image quality wheel [PDF]

open access: yesJournal of Electronic Imaging, 2019
We have collected a large dataset of subjective image quality “*nesses,” such as sharpness or colorfulness. The dataset comes from seven studies and contains 39,415 quotations from 146 observers who have evaluated 62 scenes either in print images or on display.
Virtanen, Toni   +2 more
openaire   +3 more sources

Sparse Representation-based Image Quality Assessment

open access: yes, 2013
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural information that is perceptually important to our visual system is a challenging ...
Guha, Tanaya   +2 more
core   +1 more source

Full Reference Objective Quality Assessment for Reconstructed Background Images

open access: yes, 2018
With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a ...
Karam, Lina, Shrotre, Aditee
core   +1 more source

Statistical evaluation of visual quality metrics for image denoising

open access: yes, 2017
This paper studies the problem of full reference visual quality assessment of denoised images with a special emphasis on images with low contrast and noise-like texture.
Egiazarian, Karen   +3 more
core   +1 more source

Image Quality Assessment for Magnetic Resonance Imaging

open access: yesIEEE Access, 2023
Image quality assessment (IQA) algorithms aim to reproduce the human's perception of the image quality. The growing popularity of image enhancement, generation, and recovery models instigated the development of many methods to assess their performance.
Sergey Kastryulin   +3 more
openaire   +4 more sources

No-reference Image Denoising Quality Assessment [PDF]

open access: yes, 2018
A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
core   +2 more sources

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