Near constant-time optimal piecewise LDR to HDR inverse tone mapping

Mapping Intimacies ◽

10.1117/12.2080389 ◽

2015 ◽

Cited By ~ 3

Author(s):

Qian Chen ◽

Guan-Ming Su ◽

Peng Yin

Keyword(s):

Constant Time ◽

Tone Mapping ◽

Time Optimal ◽

Inverse Tone Mapping

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Fast Inverse Tone Mapping Based on Reinhard's Global Operator with Estimated Parameters

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e100.a.2248 ◽

2017 ◽

Vol E100.A (11) ◽

pp. 2248-2255 ◽

Cited By ~ 4

Author(s):

Yuma KINOSHITA ◽

Sayaka SHIOTA ◽

Hitoshi KIYA

Keyword(s):

Tone Mapping ◽

Estimated Parameters ◽

Global Operator ◽

Inverse Tone Mapping

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A constant-time optimal parallel string-matching algorithm

Journal of the ACM ◽

10.1145/210332.210341 ◽

1995 ◽

Vol 42 (4) ◽

pp. 908-918 ◽

Cited By ~ 17

Author(s):

Zvi Galil

Keyword(s):

String Matching ◽

Constant Time ◽

Matching Algorithm ◽

Time Optimal ◽

Parallel String Matching

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An Inverse Tone Mapping Algorithm Based on Multi-scale Dual-branch Network

10.1109/iccst53801.2021.00048 ◽

2021 ◽

Author(s):

Tianyu Chen ◽

Ping Shi

Keyword(s):

Tone Mapping ◽

Mapping Algorithm ◽

Multi Scale ◽

Inverse Tone Mapping

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An Entropy-based Inverse Tone Mapping Operator for High Dynamic Range Applications

2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS) ◽

10.1109/ntms.2018.8328678 ◽

2018 ◽

Cited By ~ 1

Author(s):

Pedram Mohammadi ◽

Mahsa T. Pourazad ◽

Panos Nasiopoulos

Keyword(s):

Dynamic Range ◽

High Dynamic Range ◽

Tone Mapping ◽

High Dynamic ◽

Inverse Tone Mapping

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An optimization framework for inverse tone mapping using a single low dynamic range image

Signal Processing Image Communication ◽

10.1016/j.image.2019.07.009 ◽

2019 ◽

Vol 78 ◽

pp. 274-283

Author(s):

Ming Fan ◽

Dae-Hong Lee ◽

Seung-Wook Kim ◽

Sung-Jea Ko

Keyword(s):

Dynamic Range ◽

Tone Mapping ◽

Range Image ◽

Optimization Framework ◽

Low Dynamic Range ◽

Inverse Tone Mapping

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Gan Based Multi-Exposure Inverse Tone Mapping

2019 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2019.8803540 ◽

2019 ◽

Author(s):

Yucheng Xu ◽

Shiyu Ning ◽

Rong Xie ◽

Li Song

Keyword(s):

Tone Mapping ◽

Inverse Tone Mapping

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Learning an Inverse Tone Mapping Network with a Generative Adversarial Regularizer

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462444 ◽

2018 ◽

Cited By ~ 10

Author(s):

Shiyu Ning ◽

Hongteng Xu ◽

Li Song ◽

Rong Xie ◽

Wenjun Zhang

Keyword(s):

Tone Mapping ◽

Inverse Tone Mapping

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Fine-grained detection of inverse tone mapping in HDR images

Signal Processing ◽

10.1016/j.sigpro.2018.05.028 ◽

2018 ◽

Vol 152 ◽

pp. 178-188 ◽

Cited By ~ 2

Author(s):

Wei Fan ◽

Giuseppe Valenzise ◽

Francesco Banterle ◽

Frédéric Dufaux

Keyword(s):

Tone Mapping ◽

Fine Grained ◽

Inverse Tone Mapping

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Efficient Banding-Alleviating Inverse Tone Mapping for High Dynamic Range Video

2019 53rd Asilomar Conference on Signals, Systems, and Computers ◽

10.1109/ieeeconf44664.2019.9048707 ◽

2019 ◽

Author(s):

Neeraj J. Gadgil ◽

Qing Song ◽

Guan-Ming Su

Keyword(s):

Dynamic Range ◽

High Dynamic Range ◽

Tone Mapping ◽

High Dynamic ◽

High Dynamic Range Video ◽

Inverse Tone Mapping

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

IEEE Access ◽

10.1109/access.2019.2919296 ◽

2019 ◽

Vol 7 ◽

pp. 73555-73563 ◽

Cited By ~ 1

Author(s):

Yuma Kinoshita ◽

Hitoshi Kiya

Keyword(s):

Loss Function ◽

Tone Mapping ◽

Inverse Tone Mapping

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