Results 201 to 210 of about 57,669 (242)

Fast inverse tone mapping with Reinhard's global operator

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
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 computing costs. Furthermore, the inverse TMO has a new characteristic when an LDR image is mapped from an HDR one by Reinhard's global operator.
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya   +2 more
openaire   +1 more source

iTM-Net: Deep Inverse Tone Mapping Using Novel Loss Function Based on Tone Mapping Operator

2019 27th European Signal Processing Conference (EUSIPCO), 2019
A 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
openaire   +1 more source

Forensic detection of inverse tone mapping in HDR images

2016 IEEE International Conference on Image Processing (ICIP), 2016
High 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 ...
Fan W, Valenzise G, Banterle F, Dufaux F
openaire   +3 more sources

An inverse tone mapping operator based on Reinhard's global operator

2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2016
A 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, Sayaka Siota, Hitoshi Kiya   +2 more
openaire   +1 more source

Reinhard's global operator based inverse tone mapping with one parameter

2017 Eighth International Workshop on Signal Design and Its Applications in Communications (IWSDA), 2017
This paper proposes a new inverse tone mapping operator (TMO) with only one parameter. The proposed inverse TMO is based on Reinhard's global operator which is a well-known TMO. Inverse TM operations have two applications: generating an HDR image from an existing LDR one, and reconstructing an original HDR image from the mapped LDR image. In this paper,
Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya   +2 more
openaire   +1 more source

Hybrid Conditional Deep Inverse Tone Mapping

Proceedings of the 30th ACM International Conference on Multimedia, 2022
Tong Shao, Deming Zhai, Junjun Jiang, Xianming Liu   +3 more
openaire   +1 more source

Deep Inverse Tone Mapping Optimized for High Dynamic Range Display

2018 International Conference on Information and Communication Technology Convergence (ICTC), 2018
The 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.
Katsuhiko Hirao, Zhengxue Cheng, Masaru Takeuchi, Jiro Katto   +3 more
openaire   +1 more source

Perceptual brightness-based inverse tone mapping for high dynamic range imaging

Displays, 2018
Abstract This paper proposes a novel high dynamic range imaging method based on inverse tone mapping for generating a high dynamic range image from a single low dynamic range image. With the increasing expectations for image quality, displays providing high dynamic range images have been released.
Gwon Hwan An, Yong Deok Ahn, Siyeong Lee, Suk-Ju Kang   +3 more
openaire   +1 more source

Deep Recursive HDRI: Inverse Tone Mapping Using Generative Adversarial Networks

2018
High dynamic range images contain luminance information of the physical world and provide more realistic experience than conventional low dynamic range images. Because most images have a low dynamic range, recovering the lost dynamic range from a single low dynamic range image is still prevalent. We propose a novel method for restoring the lost dynamic
Siyeong Lee, Gwon Hwan An, Suk-Ju Kang
openaire   +1 more source

Revisiting the Stack-Based Inverse Tone Mapping

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Ning Zhang, Yuyao Ye, Yang Zhao, Ronggang Wang   +3 more
openaire   +1 more source