Results 41 to 50 of about 4,120 (175)

A Soft-Reference Breast Ultrasound Image Quality Assessment Method That Considers the Local Lesion Area

Bioengineering, 2023
The quality of breast ultrasound images has a significant impact on the accuracy of disease diagnosis. Existing image quality assessment (IQA) methods usually use pixel-level feature statistical methods or end-to-end deep learning methods, which focus on
Ziwen Wang, Yuxin Song, Baoliang Zhao, Zhaoming Zhong, Liang Yao, Faqin Lv, Bing Li, Ying Hu   +7 more
doaj   +1 more source

VR IQA NET: Deep Virtual Reality Image Quality Assessment Using Adversarial Learning [PDF]

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018
In this paper, we propose a novel virtual reality image quality assessment (VR IQA) with adversarial learning for omnidirectional images. To take into account the characteristics of the omnidirectional image, we devise deep networks including novel quality score predictor and human perception guider.
Heaun-Taek Lim, Hak Gu Kim, Yang Man Ra
openaire   +3 more sources

On the Application LBP Texture Descriptors and Its Variants for No-Reference Image Quality Assessment

Journal of Imaging, 2018
Automatic assessing the quality of an image is a critical problem for a wide range of applications in the fields of computer vision and image processing. For example, many computer vision applications, such as biometric identification, content retrieval,
Pedro Garcia Freitas, Luísa Peixoto da Eira, Samuel Soares Santos, Mylene Christine Queiroz de Farias   +3 more
doaj   +1 more source

Improved Image Quality Assessment by Utilizing Pre-Trained Architecture Features with Unified Learning Mechanism

Applied Sciences, 2023
The purpose of the no-reference image quality assessment (NR-IQA) is to measure perceived image quality based on subjective judgments; however, due to the lack of a clean reference image, this is a complicated and unresolved challenge.
Jihyoung Ryu
doaj   +1 more source

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image

BioMedical Engineering OnLine, 2023
Background Chest computed tomography (CT) image quality impacts radiologists’ diagnoses. Pre-diagnostic image quality assessment is essential but labor-intensive and may have human limitations (fatigue, perceptual biases, and cognitive biases).
Jialin Su, Meifang Li, Yongping Lin, Liu Xiong, Caixing Yuan, Zhimin Zhou, Kunlong Yan   +6 more
doaj   +1 more source

Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment

, 2017
We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers for feature extraction, and two fully connected layers for regression ...
Bosse, Sebastian, Maniry, Dominique, Müller, Klaus-Robert, Samek, Wojciech, Wiegand, Thomas   +4 more
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

TIQA-MRI: Toolbox for Perceptual Image Quality Assessment of Magnetic Resonance Images

SoftwareX
Magnetic Resonance Imaging (MRI) plays a pivotal role in medical diagnostics and research as a non-invasive imaging tool. The accuracy and reliability of clinical evaluations depend heavily on the quality of MRI images, making high-quality imaging ...
Igor Stępień
doaj   +1 more source

End-to-End Image Patch Quality Assessment for Image/Video With Compression Artifacts

IEEE Access, 2020
In this paper, we present an experimental image quality assessment (IQA) method for image/video patches with compression artifacts. Using the High Efficiency Video Coding (HEVC) standard, we create a new database of image patches with compression ...
Tung Thanh Pham, Xiem Van Hoang, Nghia Trung Nguyen, Duong Trieu Dinh, Le Thanh Ha   +4 more
doaj   +1 more source

Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views

IEEE Access, 2022
Multi-view 3D content is subject to distortions during the process of depth image-based rendering (DIBR). Studies have shown the unreliable performance of the well-established image quality assessment (IQA) models for evaluation of DIBR-synthesized views
Saeed Mahmoudpour, Peter Schelkens
doaj   +1 more source