Luminance-Preserving Colour Conversion

Schweiger, Florian; Borer, Tim; Pindoria, Manish

doi:10.5594/m001708

Cited by 4 publications

(12 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…12a that observers did not prefer the HPMINDE algorithm in most of the tests images, and therefore rated it as the least accurate method. The algorithms of Schweiger et al [25], Alsam and Farup [25] and LCLIP [15] are, respectively, ranked second, third and fourth by the observers. For the experimental setup 2 we also ran the psychophysical tests with 15 observers, of which 9 had experience in image processing and the other 6 were skilled technicians (colorists and editors) from a post-production company.…”

Section: Results Of Gras Under Experimental Setup 1 and Setupmentioning

confidence: 99%

“…Some GRAs take an hybrid approach in which a combination of clipping and compression is used to perform gamut mapping; see for example [23]. A few GRAs [24], [25] make use of soft-clipping that squeezes colors near the target gamut boundary in order to accommodate the OOG colors. Local GRAs: The frequency-based local GRAs [26], [27], [28] first reduce the gamut of the source image using a global method, and then in the second stage the high frequency image detail (obtained by using a spatial filter) is added to the reduced-gamut image.…”

Section: Related Workmentioning

confidence: 99%

“…• Schweiger et al [25] make use of a compression function that squeezes colors near the destination gamut boundary in order to accommodate the out-ofgamut colors. This is a method proposed and used by the British Broadcasting Corporation (BBC).…”

Section: Competing Grasmentioning

confidence: 99%

See 2 more Smart Citations

Vision Models for Wide Color Gamut Imaging in Cinema

Zamir

Vázquez-Corral

Bertalmío

2021

IEEE Trans. Pattern Anal. Mach. Intell.

View full text Add to dashboard Cite

Gamut mapping is the problem of transforming the colors of image or video content so as to fully exploit the color palette of the display device where the content will be shown, while preserving the artistic intent of the original content's creator. In particular in the cinema industry, the rapid advancement in display technologies has created a pressing need to develop automatic and fast gamut mapping algorithms. In this paper we propose a novel framework that is based on vision science models, performs both gamut reduction and gamut extension, is of low computational complexity, produces results that are free from artifacts and outperforms state-of-the-art methods according to psychophysical tests. Our experiments also highlight the limitations of existing objective metrics for the gamut mapping problem.Index Terms-Gamut mapping algorithms, wide gamut imaging, color reproduction, vision models for color and contrast, gamut mapping for cinema. !This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.

show abstract

Section: Results Of Gras Under Experimental Setup 1 and Setupmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Vision Models for Wide Color Gamut Imaging in Cinema

Zamir

Vázquez-Corral

Bertalmío

2021

IEEE Trans. Pattern Anal. Mach. Intell.

View full text Add to dashboard Cite

show abstract

“…However, gamut compression methods usually show a clear lack of saturation. Some approaches [13,14] define a knee region on the border of the gamut to obtain the advantages of the gamut compression procedure while not performing an excessive desaturation. Based on the same idea, there exist local methods [8,9,15] that follow a three-stage pipeline: first, they apply a global gamut clipping method, second, they add back the high frequency image detail (obtained by a spatial filter), and finally, they perform a further gamut clipping to prevent the spatial filtering operation to place a few pixels outside the destination gamut.…”

Section: Gamut Mappingmentioning

confidence: 99%

Spatial gamut mapping among non-inclusive gamuts

Vázquez-Corral

Bertalmío

2018

Journal of Visual Communication and Image Representation

View full text Add to dashboard Cite

Gamut mapping transforms the color gamut of an image to that of a target device. Two cases are usually considered: gamut reduction (target gamut smaller than source gamut), and gamut extension (target gamut larger than the source gamut). Less attention is devoted to the more general case, when neither gamut is fully included in the other. In this work we unify and expand two recent methods for gamut extension and reduction, so as to simultaneously perform both forms of gamut mapping in different regions of the same image without introducing color artifacts or halos. We demonstrate the usefulness of this approach for the traditional gamut mapping problem, and also how the proposed method can be used to adapt the color palette of an image so that it is closer to that of a given reference image. Results are compared with the state-of-the-art and validated through user tests and objective metrics.

show abstract

“…GM transforms colors of a source material to the colors of a target device. Generally there exist two possibilities for gamut mapping 1 : if the source gamut is larger than the target gamut, gamut reduction (GR) is needed [2][3][4][5][6][7][8] and if the source gamut is smaller than the target gamut, the process of gamut extension (GE) is desired 9-13 . Gamut mapping is also needed on the image capture side. There exists various consumer and professional movie cameras that are capable of capturing content with different range of colors.…”

Section: Introductionmentioning

confidence: 99%

Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models

Zamir¹,

Vázquez-Corral²,

Bertalmío³

2017

SMPTE 2017 Annual Technical Conference and Exhibition

View full text Add to dashboard Cite

The authors are solely responsible for the content of this technical presentation. The technical presentation does not necessarily reflect the official position of the Society of Motion Picture and Television Engineers (SMPTE), and its printing and distribution does not constitute an endorsement of views which may be expressed. This technical presentation is subject to a formal peer-review process by the SMPTE Board of Editors, upon completion of the conference. Citation of this work should state that it is a SMPTE meeting paper. EXAMPLE: Author's Last Name, Initials. 2011. Title of Presentation, Meeting name and location.: SMPTE. For information about securing permission to reprint or reproduce a technical presentation, please contact SMPTE at

show abstract

Luminance-Preserving Colour Conversion

Cited by 4 publications

References 0 publications

Vision Models for Wide Color Gamut Imaging in Cinema

Vision Models for Wide Color Gamut Imaging in Cinema

Spatial gamut mapping among non-inclusive gamuts

Automatic, Fast and Perceptually Accurate Gamut Mapping Based on Vision Science Models

Contact Info

Product

Resources

About