TY - CHAP
T1 - Variational Methods for Gamut Mapping in Cinema and Television
AU - Zamir, Syed Waqas
AU - Vazquez-Corral, Javier
AU - Bertalmío, Marcelo
N1 - Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.
PY - 2018
Y1 - 2018
N2 - The cinema and television industries are continuously working in the development of image features that provide a better visual experience to viewers, increasing spatial resolution, frame rate, contrast, and recently, with emerging display technologies, much more vivid colors. For this reason there is a pressing need to develop fast, automatic and reliable gamut mapping algorithms that can transform the colors of the original content, adapting it to the capabilities of the display or projector system in which it is going to be viewed while at the same time respecting the artistic intent of the creator. In this article we present a review of our work on variational methods for gamut mapping that comply with some basic global and local properties of the human visual system, producing state-of-the-art results that appear natural and are perceptually faithful to the original material.
AB - The cinema and television industries are continuously working in the development of image features that provide a better visual experience to viewers, increasing spatial resolution, frame rate, contrast, and recently, with emerging display technologies, much more vivid colors. For this reason there is a pressing need to develop fast, automatic and reliable gamut mapping algorithms that can transform the colors of the original content, adapting it to the capabilities of the display or projector system in which it is going to be viewed while at the same time respecting the artistic intent of the creator. In this article we present a review of our work on variational methods for gamut mapping that comply with some basic global and local properties of the human visual system, producing state-of-the-art results that appear natural and are perceptually faithful to the original material.
UR - http://www.scopus.com/inward/record.url?scp=85057437108&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-91274-5_4
DO - 10.1007/978-3-319-91274-5_4
M3 - Chapter
AN - SCOPUS:85057437108
SN - 9783319912738
SN - 9783319912738
SN - 9783540250326
SN - 9783540250760
SN - 9783540332749
SN - 9783540886051
SN - 9783642150135
SN - 9783642216077
SN - 9783642231742
SN - 9783642273421
SN - 9783642341403
SN - 9783642543005
T3 - Mathematics and Visualization
SP - 67
EP - 100
BT - Mathematics and Visualization
A2 - Tai, Xue-Cheng
A2 - Bae, Egil
A2 - Lysaker, Marius
PB - Springer Heidelberg
ER -