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iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator
2019 27th European Signal Processing Conference (EUSIPCO), 2019A novel inverse tone mapping network, called “iTMNet”, is proposed in this paper. For training iTM-Net, we also propose a novel loss function considering the pixel distribution of HDR images. In inverse tone mapping with CNNs, we first point out that training CNNs with a standard loss function causes a problem, due to the distribution of HDR images. To
Yuma Kinoshita, Hitoshi Kiya
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An inverse tone mapping operator based on Reinhard's global operator
2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016A number of inverse tone mapping operators (TMOs) for dynamic range expansion have been proposed due to the need to visualize low dynamic range (LDR) images on high dynamic range (HDR) devices. This paper proposes a novel inverse TMO, which enables to generate HDR images from LDR ones, not only without using any specific parameters but also at low ...
Yuma Kinoshita, Hitoshi Kiya
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Deep Inverse Tone Mapping Optimized for High Dynamic Range Display
2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018The popularity of high dynamic range (HDR) makes the inverse tone mapping become an important technique for HDR display. In this paper, we propose a convolutional neural network (CNN) based inverse tone mapping method to generate a high-quality HDR image from one single standard dynamic range (SDR) image.
Zhengxue Cheng +2 more
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Local Inverse Tone Mapping for Scalable High Dynamic Range Image Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2018Tone mapping operators (TMOs) and inverse TMOs (iTMOs) are important for scalable coding of high dynamic range (HDR) images. Because of the high nonlinearity of local TMOs, it is very difficult to estimate the iTMO accurately for a local TMO. In this letter, we present a two-layer local iTMO estimation algorithm using an edge-preserving decomposition ...
Zhe Wei, Changyun Wen, Zhengguo Li
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Deep Arbitrary HDRI: Inverse Tone Mapping With Controllable Exposure Changes
IEEE Transactions on Multimedia, 2022Siyeong Lee, Namhyun Ahn, Suk-Ju Kang
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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
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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
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Forensic detection of inverse tone mapping in HDR images
2016 IEEE International Conference on Image Processing (ICIP), 2016High dynamic range (HDR) imaging is attracting an increasing deal of attention in the multimedia community, yet its forensic problems have been little studied so far. This paper proposes an HDR image forensic method, which aims at differentiating HDR images created from multiple low dynamic range (LDR) images from those created from a single LDR image ...
Wei Fan 0004 +3 more
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Multi-Scale Video Inverse Tone Mapping with Deformable Alignment
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), 2020Inverse 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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Gan Based Multi-Exposure Inverse Tone Mapping
2019 IEEE International Conference on Image Processing (ICIP), 2019High 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
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Inverse tone mapping high dynamic range images
2017 International Conference on Advanced Systems and Electric Technologies (IC_ASET), 2017HDR (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
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