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Real-time false-contours removal for inverse tone mapped HDR content

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Abstract
High Dynamic Ranges (HDR) displays can show images with higher color contrast levels and peak luminosities than the commonly used Low Dynamic Range (LDR) displays. Although HDR displays are still expensive, they are reaching the consumer market in the coming years. Unfortunately, most video content is recorded and/or graded in LDR format. Typically, dynamic range expansion by using an Inverse Tone Mapped Operator (iTMO) is required to show LDR content in HDR displays. The most common type of artifact derived from dynamic range expansion is false contouring, which negatively affects the overall image quality. In this paper, we propose a new fast iterative false-contour removal method for inverse tone mapped HDR content. We consider the false-contour removal as a signal reconstruction problem, and we solve it using an iterative Projection Onto Convex Sets (POCS) minimization algorithm. Unlike most other false-contour removal techniques, we define reconstruction constraints taking into account the iTMO used. Experimental results demonstrate the effectiveness of the proposed method to remove false contours while preserving details in the image. In order speed-up the execution time, the proposed method was implemented to run on a GPU. We were able to show that it can be used to remove false contours in real-time from an inverse tone mapped High-definition HDR video sequences at 24 fps.
Keywords
Artifacts removal, de-quantization, de-contouring, de-banding, contour artifact removal, false contour, high dynamic range imaging, inverse tone mapping, high dynamic range displays

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Chicago
Luzardo Morocho, Gonzalo Raimundo, Jan Aelterman, Hiep Luong, Wilfried Philips, and Daniel Ochoa. 2017. “Real-time False-contours Removal for Inverse Tone Mapped HDR Content.” In Proceedings of the 25th ACM International Conference on Multimedia. Association for Computing Machinery.
APA
Luzardo Morocho, G. R., Aelterman, J., Luong, H., Philips, W., & Ochoa, D. (2017). Real-time false-contours removal for inverse tone mapped HDR content. Proceedings of the 25th ACM international conference on Multimedia. Presented at the 25th ACM international conference on Multimedia, Association for Computing Machinery.
Vancouver
1.
Luzardo Morocho GR, Aelterman J, Luong H, Philips W, Ochoa D. Real-time false-contours removal for inverse tone mapped HDR content. Proceedings of the 25th ACM international conference on Multimedia. Association for Computing Machinery; 2017.
MLA
Luzardo Morocho, Gonzalo Raimundo, Jan Aelterman, Hiep Luong, et al. “Real-time False-contours Removal for Inverse Tone Mapped HDR Content.” Proceedings of the 25th ACM International Conference on Multimedia. Association for Computing Machinery, 2017. Print.
@inproceedings{8533776,
  abstract     = {High Dynamic Ranges (HDR) displays can show images with higher color contrast levels and peak luminosities than the commonly used Low Dynamic Range (LDR) displays. Although HDR displays are still expensive, they are  reaching the consumer market in the coming years. Unfortunately, most video content is recorded and/or graded in LDR format. Typically, dynamic range expansion by using an Inverse Tone Mapped Operator (iTMO) is required to show LDR content in HDR displays. The most common type of artifact derived from dynamic range expansion is false contouring, which negatively affects the overall image quality. In this paper, we propose a new fast iterative false-contour removal method for inverse tone mapped HDR content. We consider the false-contour removal as a signal reconstruction problem, and we solve it using an iterative Projection Onto Convex Sets (POCS) minimization algorithm. Unlike most other false-contour removal techniques, we define reconstruction constraints taking into account the iTMO used. Experimental results demonstrate the effectiveness of the proposed method to remove false contours while preserving details in the image. In order speed-up the execution time, the proposed method was implemented to run on a GPU. We were able to show that it can be used to remove false contours in real-time from an inverse tone mapped High-definition HDR video sequences at 24 fps. },
  author       = {Luzardo Morocho, Gonzalo Raimundo and Aelterman, Jan and Luong, Hiep and Philips, Wilfried and Ochoa, Daniel},
  booktitle    = {Proceedings of the 25th ACM international conference on Multimedia},
  isbn         = {978-1-4503-4906-2/17/10},
  keyword      = {Artifacts removal,de-quantization,de-contouring,de-banding,contour artifact removal,false contour,high dynamic range imaging,inverse tone mapping,high dynamic range displays},
  language     = {eng},
  location     = {Mountain View, CA USA},
  publisher    = {Association for Computing Machinery},
  title        = {Real-time false-contours removal for inverse tone mapped HDR content},
  url          = {http://dx.doi.org/10.1145/3123266.3123400},
  year         = {2017},
}

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