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Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
Reduced reference image and video quality assessments: review of methods
With the growing demand for image and video-based applications, the requirements of
consistent quality assessment metrics of image and video have increased. Different …
consistent quality assessment metrics of image and video have increased. Different …
No-reference image sharpness assessment in autoregressive parameter space
In this paper, we propose a new no-reference (NR)/blind sharpness metric in the
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
autoregressive (AR) parameter space. Our model is established via the analysis of AR …
Full-reference quality assessment of stereopairs accounting for rivalry
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 …
afflicted by possibly asymmetric distortions. An intermediate image is generated which when …
Subjective and objective quality assessment of image: A survey
With the increasing demand for image-based applications, the efficient and reliable
evaluation of image quality has increased in importance. Measuring the image quality is of …
evaluation of image quality has increased in importance. Measuring the image quality is of …
Subjective evaluation of stereoscopic image quality
Stereoscopic/3D image and video quality assessment (IQA/VQA) has become increasing
relevant in today's world, owing to the amount of attention that has recently been focused on …
relevant in today's world, owing to the amount of attention that has recently been focused on …
No-reference quality assessment of natural stereopairs
We develop a no-reference binocular image quality assessment model that operates on
static stereoscopic images. The model deploys 2D and 3D features extracted from …
static stereoscopic images. The model deploys 2D and 3D features extracted from …
Quality assessment of stereoscopic 3D image compression by binocular integration behaviors
The objective approaches of 3D image quality assessment play a key role for the
development of compression standards and various 3D multimedia applications. The quality …
development of compression standards and various 3D multimedia applications. The quality …
Quality prediction of asymmetrically distorted stereoscopic 3D images
Objective quality assessment of distorted stereoscopic images is a challenging problem,
especially when the distortions in the left and right views are asymmetric. Existing studies …
especially when the distortions in the left and right views are asymmetric. Existing studies …
Learning structure of stereoscopic image for no-reference quality assessment with convolutional neural network
In this paper, we propose to learn the structures of stereoscopic image based on
convolutional neural network (CNN) for no-reference quality assessment. Taking image …
convolutional neural network (CNN) for no-reference quality assessment. Taking image …