Review of medical image quality assessment
LS Chow, R Paramesran - Biomedical signal processing and control, 2016 - Elsevier
Abstract Image Quality Assessment (IQA) plays an important role in assessing any new
hardware, software, image acquisition techniques, image reconstruction or post-processing …
hardware, software, image acquisition techniques, image reconstruction or post-processing …
Blind image quality assessment based on high order statistics aggregation
Blind image quality assessment (BIQA) research aims to develop a perceptual model to
evaluate the quality of distorted images automatically and accurately without access to the …
evaluate the quality of distorted images automatically and accurately without access to the …
Data and information quality
C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
Blind image quality assessment by relative gradient statistics and adaboosting neural network
L Liu, Y Hua, Q Zhao, H Huang, AC Bovik - Signal Processing: Image …, 2016 - Elsevier
The image gradient is a commonly computed image feature and a potentially predictive
factor for image quality assessment (IQA). Indeed, it has been successfully used for both full …
factor for image quality assessment (IQA). Indeed, it has been successfully used for both full …
Performance evaluation of wavelet, ridgelet, curvelet and contourlet transforms based techniques for digital image denoising
Digital images always inherit some extent of noise in them. This noise affects the information
content of the image. Removal of this noise is very important to extract useful information …
content of the image. Removal of this noise is very important to extract useful information …
Orientation selectivity based visual pattern for reduced-reference image quality assessment
Image quality assessment (IQA) is in great demand for high quality image selection in the
big data era. The challenge of reduced-reference (RR) IQA is how to use limited data to …
big data era. The challenge of reduced-reference (RR) IQA is how to use limited data to …
Toward a no-reference image quality assessment using statistics of perceptual color descriptors
D Lee, KN Plataniotis - IEEE Transactions on Image Processing, 2016 - ieeexplore.ieee.org
Analysis of the statistical properties of natural images has played a vital role in the design of
no-reference (NR) image quality assessment (IQA) techniques. In this paper, we propose …
no-reference (NR) image quality assessment (IQA) techniques. In this paper, we propose …
Identification of structurally damaged areas in airborne oblique images using a visual-bag-of-words approach
Automatic post-disaster mapping of building damage using remote sensing images is an
important and time-critical element of disaster management. The characteristics of remote …
important and time-critical element of disaster management. The characteristics of remote …
Multi-task rank learning for image quality assessment
In practice, images are distorted by more than one distortion. For image quality assessment
(IQA), existing machine learning (ML)-based methods generally establish a unified model for …
(IQA), existing machine learning (ML)-based methods generally establish a unified model for …
No-reference retargeted image quality assessment based on pairwise rank learning
In this paper, we propose a novel no-reference image quality assessment method for the
retargeted image based on the pairwise rank learning approach. Each retargeted image …
retargeted image based on the pairwise rank learning approach. Each retargeted image …