Bayesian depth estimation from monocular natural images
Estimating an accurate and naturalistic dense depth map from a single monocular
photographic image is a difficult problem. Nevertheless, human observers have little …
photographic image is a difficult problem. Nevertheless, human observers have little …
Towards a closed form second-order natural scene statistics model
Previous work on natural scene statistics (NSS)-based image models has focused primarily
on characterizing the univariate bandpass statistics of single pixels. These models have …
on characterizing the univariate bandpass statistics of single pixels. These models have …
Towards a blind image quality evaluator using multi-scale second-order statistics
Natural image statistics have proved to be effective indicators in measuring quality
degradations. Most of the current statistics-based Image Quality Assessment (IQA) metrics …
degradations. Most of the current statistics-based Image Quality Assessment (IQA) metrics …
Second order natural scene statistics model of blind image quality assessment
The univariate statistics of bandpass-filtered images provide powerful features that drive
many successful image quality assessment (IQA) algorithms. Bivariate Natural Scene …
many successful image quality assessment (IQA) algorithms. Bivariate Natural Scene …
On the natural statistics of chromatic images
The visual brain is optimally designed to process images from the natural environment that
we perceive. Describing the natural environment statistically helps in understanding how the …
we perceive. Describing the natural environment statistically helps in understanding how the …
Relating spatial and spectral models of oriented bandpass natural images
Univariate models of the Natural Scene Statistics (NSS) of perceived digital pictures have
been deployed in a wide variety of image and video processing applications. However …
been deployed in a wide variety of image and video processing applications. However …
Blind image quality assessment: from heuristic-based to learning-based
H Cai - 2022 - research.library.mun.ca
Image quality assessment (IQA) plays an important role in numerous digital image
processing applications, including image compression, image transmission, and image …
processing applications, including image compression, image transmission, and image …
Predicting 3D visual discomfort using natural scene statistics and a binocular model
When humans observe stereoscopic images, visual discomfort may be experienced in the
form of physiological symptoms such as eyestrain, a feeling of pressure in the eyes …
form of physiological symptoms such as eyestrain, a feeling of pressure in the eyes …
Statistical and perceptual properties of images and videos with applications
Z Sinno - 2019 - repositories.lib.utexas.edu
The visual brain is optimally designed to process images from the natural environment that
we perceive. Describing the natural environment statistically helps in understanding how the …
we perceive. Describing the natural environment statistically helps in understanding how the …