Results 221 to 230 of about 129,605 (253)

Full reference and reduced reference metrics for image quality assessment

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings., 2003
In this paper, we propose efficient full reference and reduced reference image quality assessment metrics. These two metrics are based on human visual system properties to get the best correspondence with human judgments. The full reference metric is generic (independent from image distortion type) and convenient for image coding schemes comparison ...
Mathieu Carnec, Patrick Le Callet, Dominique Barba   +2 more
openaire   +1 more source

Neural network-based full-reference image quality assessment

2016 Picture Coding Symposium (PCS), 2016
This paper presents a full-reference (FR) image quality assessment (IQA) method based on a deep convolutional neural network (CNN). The CNN extracts features from distorted and reference image patches and estimates the perceived quality of the distorted ones by combining and regressing the feature vectors using two fully connected layers.
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand 0001, Wojciech Samek   +4 more
openaire   +1 more source

Machine learning to design full-reference image quality assessment algorithm

Signal Processing: Image Communication, 2012
A crucial step in image compression is the evaluation of its performance, and more precisely, available ways to measure the quality of compressed images. In this paper, a machine learning expert, providing a quality score is proposed. This quality measure is based on a learned classification process in order to respect human observers.
Christophe Charrier, Olivier Lézoray, Gilles Lebrun   +2 more
openaire   +3 more sources

Full-reference quality assessment of stereoscopic images by modeling binocular rivalry

2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR), 2012
We develop a framework for assessing the quality of stereoscopic images that have been afflicted by possibly asymmetric distortions. An intermediate image is generated which when viewed stereoscopically is designed to have a perceived quality close to that of the cyclopean image.
Ming-Jun Chen, Che-Chun Su, Do-Kyoung Kwon, Lawrence K. Cormack, Alan C. Bovik   +4 more
openaire   +1 more source

A weighted full-reference image quality assessment based on visual saliency

Journal of Visual Communication and Image Representation, 2017
A full reference image quality assessment based saliency map is proposed.Human visual system is taken account into image quality assessment.The pixels of an image make different contributions in image quality assessment. In full reference image quality assessment (IQA), the images without distortion are usually employed as reference, while the ...
Wen Yang, Ying Li, Xiaohua Zhang, Wuzhen Shi, Lin Wang, Jiawei Chen 0001   +5 more
openaire   +1 more source

Image Quality Assessment: A Review to Full Reference Indexes

2018
An image quality index plays an increasingly vital role in image processing applications for dynamic monitoring and quality adjustment, optimization and parameter setting of the imaging systems, and finally benchmarking the image processing techniques. All the above goals highly require a sustainable quantitative measure of image quality.
Mahdi Khosravy, Nilesh Patel, Neeraj Gupta, Ishwar K. Sethi   +3 more
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A Full- Reference Quality Assessment Metric for Cartoon Images

2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022
Chunyi Li, Zicheng Zhang, Wei Sun 0029, Xiongkuo Min, Guangtao Zhai   +4 more
openaire   +1 more source

Encoding Distortions for Multi-task Full-Reference Image Quality Assessment

2019 IEEE International Conference on Multimedia and Expo (ICME), 2019
Most existing image quality assessment models focus on evaluating the image quality score, however, the quality score alone is not enough to characterize the degeneration. In this paper, we propose a full reference framework named Mask Gated Convolutional Network (MGCN) for evaluating the image quality score and identifying distortions simultaneously ...
Chen Huang, Tingting Jiang 0001, Ming Jiang 0001   +2 more
openaire   +1 more source

Composition-preserving deep approach to full-reference image quality assessment

Signal, Image and Video Processing, 2020
Image quality assessment is an important element of a broad spectrum of applications ranging from automatic video streaming to display technology. In this study, we present a novel full-reference image quality assessment algorithm relying on a Siamese layout of pretrained convolutional neural networks (CNNs), feature pooling, and a neural network ...
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Full-reference visual quality assessment for synthetic images: A subjective study

2015 IEEE International Conference on Image Processing (ICIP), 2015
Measuring visual quality, as perceived by human observers, is becoming increasingly important in the many applications in which humans are the ultimate consumers of visual information. For assessing subjective quality of natural images, such as those taken by optical cameras, significant progress has been made for several decades.
Debarati Kundu, Brian L. Evans
openaire   +1 more source