HDR and WCG Image Quality Assessment Using Color Difference Metrics

Choudhury, Anustup; Pytlarz, Jaclyn; Daly, Scott

doi:10.5594/m001882

Cited by 5 publications

(11 citation statements)

References 21 publications

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“…This article is an extension of our previous work [1][2][3] with a substantial amount of new information. The contributions of this article are as follows:…”

Section: Contributionsmentioning

confidence: 83%

“…The range between 3 and 4 log 10 units is a transition between SDR and HDR, and may sometimes be marketed as HDR. [1][2][3] There are also qualitative aspects of HDR that are fundamentally different than SDR. Physical analysis of imagery has found that specular reflections can have larger luminance ranges than diffusely reflective objects 4 which were the primary purview of SDR.…”

Section: Unique Aspects Of Hdrmentioning

confidence: 99%

“…As such, we will not evaluate the currently best performing image quality metrics for HDR imaging such as HDR-VDP-2 35,36 or HDR-VQM, 37 or newer approaches combining such metrics using machine learning techniques [38][39][40][41][42] which are significantly more computationally complex than the metrics described in this article. • Since we have previously shown that the per-pixel ΔE ITP metric outperforms other per-pixel metrics 1 , in this article, we motivate and present two spatial extensions to the ΔE ITP metric that produce state-of-the-art results when compared to per-pixel color difference metrics. We presented preliminary versions of the spatial extension of ΔE ITP in our previous work.…”

Section: Contributionsmentioning

confidence: 99%

“…The data that support the findings of this study are publicly available. ORCID Anustup Choudhury https://orcid.org/0000-0001-6618-9211 ENDNOTES 1 Since the new HDR ecosystems also incorporate wider color gamuts without a marketing delineation, we will use the term "HDR" to also include HDR-WCG. 2 An equivalent unit of orders of magnitude (OoM) is also commonly used to express dynamic range in literature.…”

Section: Data Availability Statementmentioning

confidence: 99%

“…High dynamic range (HDR) and wide color gamut (WCG) 1‐3 video imagery is now supported by several consumer ecosystems and is available on millions of playback devices ranging from smartphones to cinema projectors. Image capture, video processing algorithm design, system format development, display design, and comparison across products all require evaluation of the quality of HDR images in a perceptually relevant manner.…”

Section: Introductionmentioning

confidence: 99%

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Image quality evaluation for high dynamic range and wide color gamut applications using visual spatial processing of color differences

Choudhury

Wanat

Pytlarz

et al. 2020

Color Research & Application

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High dynamic range (HDR) and wide color gamut imagery has an established video ecosystem, spanning image capture to encoding and display. This drives the need for evaluating how image quality is affected by the multitudes of ecosystem parameters. The simplest quality metrics evaluate color differences on a pixel-bypixel basis. In this article, we evaluate a series of these color difference metrics on four HDR and three standard dynamic range publicly available distortion databases consisting of natural images and subjective scores. We compare the performance of the well-established CIE L*a*b* metrics (ΔE 00 , ΔE 94) alongside two HDR-specific metrics (ΔE Z [J z a z b z ], ΔE ITP [IC T C P ]) and a spatial CIE L*a*b* extension (ΔE S 00). We also present a novel spatial extension to ΔE ITP derived by optimizing the opponent color contrast sensitivity functions. We observe that this advanced metric, ΔE SC ITP , outperforms the other color difference metrics, and we quantify the improved performance with the steps of metric advancement.

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“…This article is an extension of our previous work [1][2][3] with a substantial amount of new information. The contributions of this article are as follows:…”

Section: Contributionsmentioning

confidence: 83%