Results 71 to 80 of about 842,884 (173)

Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images

, 2018
In this paper, an efficient Minkowski Distance based Metric (MDM) for no-reference (NR) quality assessment of contrast distorted images is proposed. It is shown that higher orders of Minkowski distance and entropy provide accurate quality prediction for ...
Cheriet, Mohamed, Nafchi, Hossein Ziaei
core   +1 more source

Terahertz Security Image Quality Assessment by No-reference Model Observers

, 2017
To provide the possibility of developing objective image quality assessment (IQA) algorithms for THz security images, we constructed the THz security image database (THSID) including a total of 181 THz security images with the resolution of 127*380.
A Mittal, A Mittal, AJ Fitzgerald, AK Moorthy, BM Fischer, CT Vu, D Suzuki, F Gao, HR Sheikh, J Galbally, J Shi, K Gu, K Gu, K Gu, K Gu, K Hellen-Halme, KA Moldosanov, L Noferini, LS Chow, MA Saad, ND Narvekar, P Sung-Hyeon, PV Vu, W Hanli, W Xue   +24 more
core   +1 more source

Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks

, 2018
Confocal laser endomicroscopy (CLE), although capable of obtaining images at cellular resolution during surgery of brain tumors in real time, creates as many non-diagnostic as diagnostic images.
Belykh, Evgenii, Eschbacher, Jennifer, Izadyyazdanabadi, Mohammadhassan, Martirosyan, Nikolay, Nakaji, Peter, Preul, Mark C., Yang, Yezhou   +6 more
core   +1 more source

Research Progress on Color Image Quality Assessment

Journal of Imaging
Image quality assessment (IQA) aims to measure the consistency between an objective algorithm output and a subjective perception measurement. This article focuses on this complex relationship in the context of color image scenarios—color image quality ...
Minjuan Gao, Chenye Song, Qiaorong Zhang, Xuande Zhang, Yankang Li, Fujiang Yuan   +5 more
doaj   +1 more source

Evaluation of motion artifacts in brain magnetic resonance images using convolutional neural network-based prediction of full-reference image quality assessment metrics. [PDF]

J Med Imaging (Bellingham), 2022
Sagawa H, Itagaki K, Matsushita T, Miyati T.   +3 more
europepmc   +1 more source

A Novel Full-Reference Color Image Quality Assessment Based on Energy Computation in the Wavelet Domain

Journal of Intelligent Systems, 2013
This article presents a novel full-reference (FR) image quality assessment (QA) algorithm by depicting the sub-band characteristics in the wavelet domain.
Hanumantharaju M.C., Ravishankar M., Rameshbabu D.R., Aradhya V.N. Manjunath   +3 more
doaj   +1 more source

Adaptation of Full-Reference Image Quality Assessment Methods for Automatic Visual Evaluation of the Surface Quality of 3D Prints

Elektronika ir Elektrotechnika, 2019
Automatic visual quality assessment of the 3D printed surfaces is currently one of the most demanding challenges in additive manufacturing. Regardless of the applications of the computer vision for the 3D printing process monitoring purposes, a reliable ...
Krzysztof Okarma, Jaroslaw Fastowicz
doaj   +1 more source

A SURVEY ON FULL REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHMS

International Journal of Research in Engineering and Technology, 2013
Image quality measurement is very important for var ious image processing applications such as recognit ion, retrieval, classification, compression, restoration and similar fields. The im ages may contain different types of distortions lik e blur, noise, contrast change etc. So it is essential to rate the image quality approp riately.
openaire   +1 more source

Perceptual Error Logarithm: An Efficient and Effective Analytical Method for Full-Reference Image Quality Assessment

IEEE Access
In this paper, we propose a new perceptual analytical method for full-reference image assessment. Techniques used in multimedia applications often introduce distortions, which can significantly degrade image and video quality.
Sergio A. C. Bezerra, Sergio A. C. Bezerra Junior, Jose L. De S. Pio, Jose R. H. Carvalho, Keiko V. O. Fonseca   +4 more
doaj   +1 more source

A Multi-Feature Automatic Evaluation of the Aesthetics of 3D Printed Surfaces

Applied Sciences
Additive manufacturing is one of the continuously developing areas of technology that still requires reliable monitoring and quality assessment of obtained products. Considering the relatively long time necessary for manufacturing larger products, one of
Jarosław Fastowicz, Mateusz Tecław, Krzysztof Okarma   +2 more
doaj   +1 more source