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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 20件中 1~20件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
SIP, CAS, CS 2013-03-14
13:50
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) Lossless Compression of High Dynamic Range Images Encoded in 32-bit RGBE Format by Simple Bitplane Coding
Toshinori Fukumoto, Junghyeun Hwang, Hisakazu Kikuchi (Niigata univ.), Kazuma Shinoda (Utsunomiya univ.), Masahiro Okuda (City Univ. of Kitakyushu) CAS2012-104 SIP2012-135 CS2012-110
A method of lossless compression of high dynamic range (HDR) images encoded in 32-bit RGBE format is presented. Simple b... [more] CAS2012-104 SIP2012-135 CS2012-110
pp.45-50
CAS, CS, SIP 2012-03-08
16:00
Niigata The University of Niigata A Histogram ROI Quantization Method and its Applications
Kenta Watanabe, Hitoshi Kiya (Tokyo Metropolitan Univ.) CAS2011-119 SIP2011-139 CS2011-111
This paper proposes an image quantization method with a region of interest (ROI) on the image histogram by extending a w... [more] CAS2011-119 SIP2011-139 CS2011-111
pp.71-76
ITE-ME, ITE-AIT, IE [detail] 2011-11-11
10:50
Fukuoka   Two-Layer Coding of HDR Images by Using a Bilateral Filter
Dai Annaka, Hisakazu Kikuchi (Niigata Univ.), Masahiro Okuda (Kitakyusyu City Univ.) IE2011-81
A two-layer coding of HDR images is presented. The tone mapping is implemented by a sequence of bilateral filtering and ... [more] IE2011-81
pp.25-30
MSS, CAS, VLD, SIP 2011-06-30
16:10
Okinawa Okinawa-Ken-Seinen-Kaikan A Study on Three Layer HDR Coding Method using Two Tone-mapping Algorithms
Takao Jinno, Masahiro Okuda (Kitakyushu Univ.) CAS2011-13 VLD2011-20 SIP2011-42 MSS2011-13
Many multiple layer HDR coding methods have been proposed, but many of them cannot use a Super High Contrast Image (SHCI... [more] CAS2011-13 VLD2011-20 SIP2011-42 MSS2011-13
pp.73-77
EID, ITE-IDY, ITE-HI, ITE-3DIT, IEE-OQD, LSJ [detail] 2010-10-18
15:30
Tokyo Kikai-Shinko-Kaikan Bldg. HDR Image Rendering based on Local Adaptation to Luminosity and Its Evaluation
Yuta Fukuda, Takahiko Horiuchi, Shoji Tominaga (Chiba Univ.) EID2010-19
Tone mapping is a process for enhancing high dynamic range (HDR) image quality on a LDR device by converting the tonal v... [more] EID2010-19
pp.17-20
MI 2010-09-03
09:40
Saitama   Fast Bilateral Gauss Transform
Shin Yoshizawa (RIKEN), Alexander Belyaev (Heriot-Watt Univ.), Hideo Yokota (RIKEN) MI2010-50
Rapid advances in data acquisition technology increase importance of bio-medical imaging and processing. Edge-preserving... [more] MI2010-50
pp.7-10
SIS, SIP, IPSJ-AVM 2008-09-25
14:20
Fukuoka Tobata Campus, Kyushu Institute of Technology A Study on Composing High Dynamic Range Image for Differently Exposed Images with Moving Objects
Teppei Takagi, Hiroshi Watanabe (Waseda Univ)
HDRI(High dynamic range image) has equal dynamic range that real world has. HDRI is composed from differently exposed im... [more] SIP2008-91 SIS2008-26
pp.9-14
IE, IPSJ-AVM, CS, ITE-BCT 2007-12-14
12:40
Aichi Nagoya Univ. A Study on High Dynamic Range Image Generation for Unconstrained Images
Teppei Takagi, Hiroshi Watanabe (Waseda Univ.)
High dynamic range image(HDRI) has the equal dinamic range that real world has. HDRI is generated
by composing several ... [more]
CS2007-46 IE2007-129
pp.101-104
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