Impacts of Viewing Conditions on HDR-VDP2

Rousselot, Maxime; Eric, Auffret,; Ducloux, Xavier; Meur, Olivier Le; Cozot, Rémi

doi:10.23919/eusipco.2018.8553212

Cited by 6 publications

(6 citation statements)

References 16 publications

(14 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Section 3.1). We have shown in a previous work [18] that HDR-VDP-2 quality score shift when the angular resolution change but not in an expected way: HDR-VDP-2 score increases when the angular resolution decreases (or when the observer is closer to the screen).…”

Section: Considered Hdr Quality Metricsmentioning

confidence: 70%

“…In addition those databases are composed of a rather small amount of images. To obtain a suitable database for our experiment, we considered the five databases presented in Table 1: Narwaria et al [21], Korshunov et al [22], Zerman et al [23], 4Kdtb [11] and HDdtb [18]. The first four databases were used for the training phase and HDdtb was considered as an independent test database used to validate our proposed metric.…”

Section: Image Quality Databasesmentioning

confidence: 99%

See 1 more Smart Citation

Quality Metric Aggregation for HDR/WCG Images

Rousselot

Ducloux

Meur³

et al. 2019

2019 IEEE International Conference on Image Processing (ICIP)

Self Cite

View full text Add to dashboard Cite

High Dynamic Range (HDR) and Wide Color Gamut (WCG) screens are able to display images with brighter and darker pixels with more vivid colors than ever. Automatically assessing the quality of these HDR/WCG images is of critical importance to evaluate the performances of image compression schemes. In recent years, full-reference metrics, such as HDR-VDP-2, PU-encoding metrics, have been designed for this purpose. However, none of these metrics consider chromatic artifacts. In this paper, we propose our own full-reference quality metric adapted to HDR and WCG content that is sensitive to chromatic distortions. The proposed metric is based on two existing HDR quality metrics and color image features. A support vector machine regression is used to combine the aforementioned features. Experimental results demonstrate the effectiveness of the proposed metric in the context of image compression.

show abstract

Section: Considered Hdr Quality Metricsmentioning

confidence: 70%

Section: Image Quality Databasesmentioning

confidence: 99%

Quality Metric Aggregation for HDR/WCG Images

Rousselot

Ducloux

Meur³

et al. 2019

2019 IEEE International Conference on Image Processing (ICIP)

Self Cite

View full text Add to dashboard Cite

show abstract

“…For these parameters, we use the values corresponding to the different subjective tests. We measured the spectrum of the Sony BVM-X300 and the SIM2 HDR47ES4MB monitor using the “X-Rite Eye one Pro 2” probe (more details are given in [ 45 ]. All these parameters are summarized in Table 3 .…”

Section: Resultsmentioning

confidence: 99%

“…The first database we propose was already presented in [ 45 ]. Eight images were selected from 3 collections: two are from the MPEG HDR sequences (FireEater and Market) [ 46 ], one is from the Stuttgart HDR Video Database [ 47 ] and the remaining five images are from the HDR photographic survey [ 48 ].…”

Section: Methodology For the Quality Assessment Metrics Evaluationmentioning

confidence: 99%

Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces

Rousselot¹,

Meur

Cozot

et al. 2019

J. Imaging

Self Cite

View full text Add to dashboard Cite

High Dynamic Range (HDR) and Wide Color Gamut (WCG) screens are able to render brighter and darker pixels with more vivid colors than ever. To assess the quality of images and videos displayed on these screens, new quality assessment metrics adapted to this new content are required. Because most SDR metrics assume that the representation of images is perceptually uniform, we study the impact of three uniform color spaces developed specifically for HDR and WCG images, namely, I C t C p , J z a z b z and H D R - L a b on 12 SDR quality assessment metrics. Moreover, as the existing databases of images annotated with subjective scores are using a standard gamut, two new HDR databases using WCG are proposed. Results show that MS-SSIM and FSIM are among the most reliable metrics. This study also highlights the fact that the diffuse white of HDR images plays an important role when adapting SDR metrics for HDR content. Moreover, the adapted SDR metrics does not perform well to predict the impact of chrominance distortions.

show abstract

“…31 One surprising result was that ΔE z frequently performed poorly. It had been found previously 27 that the offset for blue linearity correction in the J z a z b z space can cause mismatches. Additionally, the final equations of the J z a z b z color space were optimized using a dataset with a diffuse white at 997 cd/m 2 .…”

Section: Test Methodology and Performance Measurementioning

confidence: 97%

HDR and WCG Image Quality Assessment Using Color Difference Metrics

Choudhury¹,

Pytlarz²,

Daly³

2020

SMPTE Mot. Imag. J

View full text Add to dashboard Cite

High dynamic range (HDR) and wide color gamut (WCG) imagery is now mainstream across content creation. Thus, having a reliable way of evaluating HDR systems is essential. One common way of measuring the quality of an HDR system is measuring the color errors introduced along the imaging pipeline. Unfortunately, development of color difference metrics has been based on test patches, as opposed to natural imagery, with evaluation mostly limited to standard dynamic range (SDR) databases. In this paper, we evaluate several color difference metrics on five publicly available HDR distortion databases consisting of natural images and subjective scores. Distortion types include lower frequency distortions such as those from tone mapping as well as higher-frequency distortions resulting from compression artifacts by the various compression schemes such as Joint Photographic Experts Group (JPEG). We analyze these databases with the well-established CIE L*a*b* metrics (ΔE 00 , ΔE 94 ) as well as two HDR-specific metrics: ΔE z (J z a z b z ) and ΔE ITP (IC T C P ). To quantify the performance, we use four standard performance evaluation procedures. We observe that ΔE ITP outperforms the other color difference metrics on four out of five databases. We also perform statistical analysis, which demonstrates the effectiveness of using ΔE ITP to assess the overall image quality of HDR/WCG content. Weaknesses of all metrics for one database suggest that more advanced spatio-chromatic visual models are worth pursuing.

show abstract

Impacts of Viewing Conditions on HDR-VDP2

Cited by 6 publications

References 16 publications

Quality Metric Aggregation for HDR/WCG Images

Quality Metric Aggregation for HDR/WCG Images

Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces

HDR and WCG Image Quality Assessment Using Color Difference Metrics

Contact Info

Product

Resources

About