Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 15:40 |
Okinawa |
Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
GAN-Based Tone Curve Learning for HDR Image Generation Tomoya Yoshida, Kazunori Uruma (Kogakuin Univ.), Ryohei Sasaki (TUT) IMQ2023-57 IE2023-112 MVE2023-86 |
In recent years, with the proliferation of HDR monitors, there has been growing interest in technologies for converting ... [more] |
IMQ2023-57 IE2023-112 MVE2023-86 pp.241-245 |
EMM |
2024-01-17 09:30 |
Miyagi |
Tohoku Univ. (Primary: On-site, Secondary: Online) |
A Reversible Data Hiding Method in Compressible Encrypted Domain for OpenEXR Images Noa Kikuchi, Shoko Imaizumi (Chiba Univ.) EMM2023-84 |
In this paper, we propose a method to achieve high-capacity reversible data hiding (RDH) for OpenEXR images with compres... [more] |
EMM2023-84 pp.20-25 |
SIS, IPSJ-AVM [detail] |
2023-06-15 13:20 |
Shimane |
NIT, Matsue College (Primary: On-site, Secondary: Online) |
A Proposal of Color-Correction Method for Color-Distortion Occurring in the Acquisition and Fusion of Multi-Exposure Image Seiichi Kojima, Noriaki Suetake (Yamaguchi Univ.) SIS2023-5 |
A multi-exposure image is a set of multiple images taken under different exposure conditions. In exposure fusion, a hig... [more] |
SIS2023-5 pp.25-30 |
EMM |
2023-03-02 13:00 |
Nagasaki |
Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reversible data hiding in encrypted domain for HDR images Ryusuke Murase, Shoko Imaizumi (Chiba Univ.) EMM2022-69 |
In this paper, we propose a high-capacity reversible data hiding method for HDR images with the Radiance RGBE format (he... [more] |
EMM2022-69 pp.13-18 |
IMQ |
2022-10-21 13:40 |
Aichi |
E and S Building, Higashiyama Campus, Nagoya Univ. |
HEVC Image Quality Assessment for eXtended Reality (XR) Based on 360 Degrees Camera Norifumi Kawabata (Computational Imaging Lab) IMQ2022-12 |
360 degrees video camera is often used in our life, event, information communication service, and Virtual Reality (VR), ... [more] |
IMQ2022-12 pp.7-12 |
IMQ, HIP |
2022-07-08 15:30 |
Hokkaido |
Satellite Campus, Sapporo City University |
A Conversion Method from HDR Video to SDR Video Considering with Perceptual Performance Jinyu Tang, Takashi Yamazoe, Kenji Sugiyama (Seikei Univ.) IMQ2022-9 HIP2022-40 |
HDR (High Dynamic Range) video is possible to display the maximum 1200% luminance images in a HDR display. However, lumi... [more] |
IMQ2022-9 HIP2022-40 pp.27-30 |
HIP |
2021-10-22 14:25 |
Online |
Online |
Visually Fidelitous Dynamic-Range Compression from HDR Images
-- Dependency of Individual on Perceived Time by Observing Images Reproduced with Global Tone Mapping Curves -- Yuichiro Orrita, Genta Higashi, Shoko Hira, Masayuki Kashima (Kagosima Univ.), Sakuichi Ohtsuka (International College of Technology, Kanazawa) HIP2021-46 |
Three different Global-tone-mapping (i.e., CD, SN, and DR) were employed for reproducing SDR images for subjective evalu... [more] |
HIP2021-46 pp.87-92 |
MVE, IMQ, IE, CQ (Joint) [detail] |
2021-03-03 13:00 |
Online |
Online |
[Invited Talk]
Delicious life with Super Hi-Vision Yoshiaki Shishikui (Meiji Univ.) CQ2020-116 |
In 4K / 8K Super Hi-Vision, which started broadcasting two years ago, the resolution, color gamut, dynamic range, etc. h... [more] |
CQ2020-116 pp.44-48 |
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-15 14:40 |
Ehime |
Ehime Prefecture Gender Equality Center |
Highly sensitive and HDR image sensor using CTIA pixel circuit Yotaro Imai, Toshinori Otaka, Yusuke Kameda, Takayuki Hamamoto (TUS) ICD2019-39 IE2019-45 |
We propose an image sensor that achieves both high sensitivity and high DR images by using a circuit structure that can ... [more] |
ICD2019-39 IE2019-45 pp.51-54 |
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2019-11-15 15:05 |
Ehime |
Ehime Prefecture Gender Equality Center |
HDR Imaging with Considering Spatial Resolution Deterioration and Motion Blur using Multiple-Exposure-Time Image Sensor Masahito Shimamoto, Yusuke Kameda, Takayuki Hamamoto (TUS) ICD2019-40 IE2019-46 |
In this paper, we proposed a novel method to achieve a high dynamic range (HDR) image with suppressing deterioration in ... [more] |
ICD2019-40 IE2019-46 pp.55-58 |
VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-08 14:25 |
Kumamoto |
Kumamoto-Kenminkouryukan Parea |
Pixel-Wise Exposure Controllable Column Parallel Readout Image Sensor and HDR Image Reconstruction Takuro Kosaka, Takayuki Hamamoto (TUS) CPM2017-90 ICD2017-49 IE2017-75 |
In this paper, we propose a prototype CMOS image sensor which can control exposure pattern of each pixel. By adding colu... [more] |
CPM2017-90 ICD2017-49 IE2017-75 pp.53-56 |
SIS, IPSJ-AVM |
2017-10-12 13:00 |
Nara |
Todaiji Culture Center |
Effect of Contrast Enhancement in Tone Mapping Operation for HDR images Ayumi Sada, Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2017-21 |
This paper proposes a new tone mapping operation for HDR images with
biased intensity distribution. In conventional to... [more] |
SIS2017-21 pp.1-6 |
SIP |
2017-08-24 10:50 |
Tokyo |
Tokyo Denki University |
HDR Imaging from LDR Images with Motion by Estimating Shutter Speed Aika Miyagawa, Xi Zhang (UEC) SIP2017-50 |
Composition of High Dynamic Range (HDR) image from Low Dynamic Range (LDR) images has been comprehensively studied. In m... [more] |
SIP2017-50 pp.13-18 |
MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 10:25 |
Fukuoka |
Kyusyu Univ. Ohashi Campus |
An improvement in over-exposure detection using HSV color model for Automatic HDR Hallucination Yusuke Sakamoto, Masaru Takeuchi, Jiro Katto (Waseda Univ.) IMQ2016-25 IE2016-140 MVE2016-48 |
In this paper, we propose an improved method for Automatic HDR Hallucination method. There are many LDR images though te... [more] |
IMQ2016-25 IE2016-140 MVE2016-48 pp.31-36 |
MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 10:50 |
Fukuoka |
Kyusyu Univ. Ohashi Campus |
A Study on HDR Image Generation Method from an SDR Image Using Deep Neural Networks Katsuhiko Hirao, Masaru Takeuchi, Jiro Katto (Waseda Univ.) IMQ2016-26 IE2016-141 MVE2016-49 |
In this paper, we propose a deep learning method to generate an HDR image from a single SDR image with restoring over an... [more] |
IMQ2016-26 IE2016-141 MVE2016-49 pp.37-42 |
SIS |
2016-12-08 11:00 |
Hiroshima |
Hiroshima City Univ. |
An Inverse Tone Mapping Scheme Considering Singularities for Reinhard's Global Operator Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) SIS2016-29 |
A number of inverse tone mapping operators for dynamic range expansion have been proposed due to the need to visualize l... [more] |
SIS2016-29 pp.7-12 |
VLD, CAS, MSS, SIP |
2016-06-16 16:20 |
Aomori |
Hirosaki Shiritsu Kanko-kan |
Inverse Tone Mapping Based on Reinhard's Tone Mapping Operator Yuma Kinoshita, Sayaka Shiota, Hitoshi Kiya (Tokyo Metro. Univ.) CAS2016-13 VLD2016-19 SIP2016-47 MSS2016-13 |
A number of inverse tone mapping operators for dynamic range expansion have been proposed due to the need to visualize l... [more] |
CAS2016-13 VLD2016-19 SIP2016-47 MSS2016-13 pp.67-72 |
SIS |
2015-12-03 14:45 |
Fukui |
Matsuya-sensen (Awara city, Fukui) |
Inverse Tone Mapping without Storing Any Parameters for HDR Images and Its Application Yuma Kinoshita, Sayaka Siota (Tokyo Metro. Univ.), Masahiro Iwahashi (Nagaoka Univ. of Tech.), Hitoshi Kiya (Tokyo Metro. Univ.) SIS2015-33 |
A number of successful tone mapping operators for contrast compression have been proposed due to the need to visualize h... [more] |
SIS2015-33 pp.23-28 |
SIP |
2013-08-29 13:50 |
Tokyo |
Tokyo University of Agriculture and Technology |
Denoising of HDR Images Using Correlation of LDR Images Mizuhito Akiyama, Xi Zhang (Univ. of Electro-Comm.) SIP2013-67 |
High Dynamic Range (HDR) images have a wide dynamic range and can be generated by synthesizing several Low Dynamic Range... [more] |
SIP2013-67 pp.7-12 |
SIP, CAS, CS |
2013-03-14 13:00 |
Yamagata |
Keio Univ. Tsuruoka Campus (Yamagata) |
A Modified Range Mapping for Irreversible Compression of High Dynamic Range Images Taiyo Deguchi, Junghyeun Hwang, Hisakazu Kikuchi (Niigata Univ.), Kazuma Shinoda (Utsunomiya Univ.), Masahiro Okuda (City Univ. of Kitakyushu) CAS2012-102 SIP2012-133 CS2012-108 |
The logarithmic range compression before JPEG2000 encoding is well-known as the best-performing irreversible compression... [more] |
CAS2012-102 SIP2012-133 CS2012-108 pp.33-38 |