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Inverse tone mapping

Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia, 2006
In recent years many Tone Mapping Operators (TMOs) have been presented in order to display High Dynamic Range Images (HDRI) on typical display devices. TMOs compress the luminance range while trying to maintain contrast. The dual of tone mapping, inverse tone mapping, expands a Low Dynamic Range Image (LDRI) into a HDRI.
Francesco, Banterle   +3 more
openaire   +1 more source

Deep Video Inverse Tone Mapping

2019 IEEE Fifth International Conference on Multimedia Big Data (BigMM), 2019
Inverse tone mapping is an important topic in High Dynamic Range technology. Recent years, deep learning based image inverse tone mapping methods have been extensively studied and perform better than classical inverse tone mapping methods. However, these methods consider the inverse tone mapping problem as a domain transformation problem from LDR ...
Yucheng Xu   +3 more
openaire   +1 more source

Content-adaptive inverse tone mapping

2012 Visual Communications and Image Processing, 2012
Tone mapping is an important technique used for displaying high dynamic range (HDR) content on low dynamic range (LDR) devices. On the other hand, inverse tone mapping enables LDR content to appear with an HDR effect on HDR displays. The existing inverse tone mapping algorithms usually focus on enhancing the luminance in over-exposed regions with less (
Pin-Hung Kuo   +2 more
openaire   +1 more source

A framework for inverse tone mapping

The Visual Computer, 2007
In recent years many tone mapping operators (TMOs) have been presented in order to display high dynamic range images (HDRI) on typical display devices. TMOs compress the luminance range while trying to maintain contrast. The inverse of tone mapping, inverse tone mapping, expands a low dynamic range image (LDRI) into an HDRI.
Francesco Banterle   +4 more
openaire   +1 more source

Physiological inverse tone mapping based on retina response

The Visual Computer, 2013
The mismatch between the Low Dynamic Range (LDR) content and the High Dynamic Range (HDR) display arouses the research on inverse tone mapping algorithms. In this paper, we present a physiological inverse tone mapping algorithm inspired by the property of the Human Visual System (HVS).
Yongqing Huo   +3 more
openaire   +1 more source

Inverse tone mapping high dynamic range images

2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET), 2017
HDR (High Dynamic Range) imaging is an area of increasing importance but most display devices still has LDR (Limited Dynamic Range). While retaining important visual information, various techniques have been proposed for compressing the dynamic range.
Med Amine Touil, Noureddine Ellouze
openaire   +1 more source

Gan Based Multi-Exposure Inverse Tone Mapping

2019 IEEE International Conference on Image Processing (ICIP), 2019
High dynamic range (HDR) imaging provide larger range of luminosity and wider color gamut than conventional low dynamic range (LDR) imaging. The method which transforms LDR contents to HDR contents is called inverse tone mapping. After deep neural networks are used in inverse tone mapping problem, researchers mostly focus on transforming normal ...
Yucheng Xu   +3 more
openaire   +1 more source

Multi-Scale Video Inverse Tone Mapping with Deformable Alignment

2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020
Inverse tone mapping(iTM) is an operation to transform low-dynamic-range (LDR) content to high-dynamic-range (HDR) content, which is an effective technique to improve the visual experience. ITM has developed rapidly with deep learning algorithms in recent years.
Jiaqi Zou, Ke Mei, Songlin Sun
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A brightness-adaptive kernel prediction network for inverse tone mapping

Neurocomputing, 2021
Abstract The inverse tone mapping (iTM) technique that produces a high dynamic range (HDR) image from one single standard dynamic range (SDR) image has received much attention in industry and academia recently. However, existing methods to recover HDR images mainly focus on overexposed regions but ignore underexposed regions. The underexposed regions
Gaofeng Cao   +3 more
openaire   +1 more source

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