Add to ORKGWe present two contributions in this work 1)a bi variate generalized Gaussian distribution (BGGD) model for the joint distribution of luminance and disparity sub band coefficients of natural Stereoscopic scenes. and 2) a no- reference (NR) stereo image quality assessment algorithm based on the BGGD model
We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRIS...
The last decade has seen a booming of the applications of stereoscopic images/videos and the corresp...
We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the repr...
We present two contributions in this work: (i) a bivariate generalized Gaussian distribution (BGGD) ...
Empirical studies of the joint statistics of luminance and disparity images (or wavelet coefficients...
We propose a supervised no-reference (NR) quality assessment algorithm for assessing the perceptual ...
We present a new subjective and objective study on full high-definition (HD) stereoscopic (3D or S3D...
International audienceIn this paper, we present a no-reference (NR) quality predictor for stereoscop...
Learning a deep structure representation for complex information networks is a vital research area, ...
International audienceNo-reference (NR) stereoscopic 3D (S3D) image quality assessment (SIQA) is sti...
One of the challenges in image quality assessment (IQA) is to determine the quality score without th...
Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imag...
This paper presents a novel full-reference Stereo Image Quality Assessment (SIQA) measure based on w...
In the modern era of Internet along with 3D imaging and communication system, many user-end applicat...
n this letter, we present a full-reference (FR) quality assessment algorithm to assess the perceptua...
We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRIS...
The last decade has seen a booming of the applications of stereoscopic images/videos and the corresp...
We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the repr...
We present two contributions in this work: (i) a bivariate generalized Gaussian distribution (BGGD) ...
Empirical studies of the joint statistics of luminance and disparity images (or wavelet coefficients...
We propose a supervised no-reference (NR) quality assessment algorithm for assessing the perceptual ...
We present a new subjective and objective study on full high-definition (HD) stereoscopic (3D or S3D...
International audienceIn this paper, we present a no-reference (NR) quality predictor for stereoscop...
Learning a deep structure representation for complex information networks is a vital research area, ...
International audienceNo-reference (NR) stereoscopic 3D (S3D) image quality assessment (SIQA) is sti...
One of the challenges in image quality assessment (IQA) is to determine the quality score without th...
Stereoscopic images are widely used to enhance the viewing experience of three-dimensional (3D) imag...
This paper presents a novel full-reference Stereo Image Quality Assessment (SIQA) measure based on w...
In the modern era of Internet along with 3D imaging and communication system, many user-end applicat...
n this letter, we present a full-reference (FR) quality assessment algorithm to assess the perceptua...
We propose a natural scene statistic based Blind/Referenceless Image Spatial QUality Evaluator (BRIS...
The last decade has seen a booming of the applications of stereoscopic images/videos and the corresp...
We present a no-reference (NR) image quality assessment (IQA) algorithm that is inspired by the repr...