No-reference Stereoscopic Image Quality Assessment Using Natural Scene Statistics [PDF]
, 2016 We present two contributions in this work: (i) a bivariate generalized Gaussian distribution (BGGD) model for the joint distribution of luminance and disparity subband coefficients of natural stereoscopic scenes and (ii) a no-reference (NR) stereo image ...
Appina, B +2 more
core +1 more source
No-Reference Image Quality Assessment by Hallucinating Pristine Features
IEEE Transactions on Image Processing, 2022 In this paper, we propose a no-reference (NR) image quality assessment (IQA) method via feature level pseudo-reference (PR) hallucination. The proposed quality assessment framework is grounded on the prior models of natural image statistical behaviors and rooted in the view that the perceptually meaningful features could be well exploited to ...
Baoliang Chen +5 more
openaire +3 more sources
No-Reference Framework for Image Quality Assessment
University of Khartoum Engineering Journal, 2022 The technological advances in computer and communication devices have been an important factor in the appearance for the applications of visual communication. Image quality assessment is one of the pillars for these applications. It is a measure to assess the quality of images.
Suhaila Abdalla Awad Abras +1 more
openaire +1 more source
Quality Assessment for CRT and LCD Color Reproduction Using a Blind Metric [PDF]
, 2008 This paper deals with image quality assessment that is capturing the focus of several research teams from academic and industrial parts. This field has an important role in various applications related to image from acquisition to projection.
Bringier, B. +2 more
core +3 more sources
No-reference image quality assessment based on the AdaBoost BP neural network in the wavelet domain [PDF]
, 2019 Considering the relatively poor robustness of quality scores for different types of distortion and the lack of mechanism for determining distortion types, a no-reference image quality assessment (NR-IQA) method based on the AdaBoost BP Neural Network in ...
Bai, Xuehan +6 more
core +1 more source
A novel objective no-reference metric for digital video quality assessment [PDF]
, 2005 A novel objective no-reference metric is proposed for video quality assessment of digitally coded videos containing natural scenes. Taking account of the temporal dependency between adjacent images of the videos and characteristics of the human visual ...
Chang, Y, Wan, S, Wu, H, Yang, F
core +1 more source
Blind image quality evaluation using perception based features [PDF]
, 2015 This paper proposes a novel no-reference Perception-based Image Quality Evaluator (PIQUE) for real-world imagery. A majority of the existing methods for blind image quality assessment rely on opinion-based supervised learning for quality score prediction.
Bh, Maruthi Chandrasekhar +4 more
core +1 more source
No Reference Image Quality Assessment Based on DCT and SOM Clustering
IEEE AccessThe quality of images and videos is an important research topic due to their wide applications. The research should match the human subjective evaluation of quality.
Mohammadreza Zamani +1 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 +4 more
core +1 more source
Real-time Assessment of Right and Left Ventricular Volumes and Function in Children Using High Spatiotemporal Resolution Spiral bSSFP with Compressed Sensing [PDF]
, 2018 Background: Real-time (RT) assessment of ventricular volumes and function enables data acquisition during free-breathing. However, in children the requirement for high spatiotemporal resolution requires accelerated imaging techniques.
Hughes, Marina +5 more
core +2 more sources