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Erschienen in:
Multi–scale Recursive and Perception–Distortion Controllable Image Super–Resolution Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

verfasst von : Andrey Ignatov, Radu Timofte, Thang Van Vu, Tung Minh Luu, Trung X Pham, Cao Van Nguyen, Yongwoo Kim, Jae-Seok Choi, Munchurl Kim, Jie Huang, Jiewen Ran, Chen Xing, Xingguang Zhou, Pengfei Zhu, Mingrui Geng, Yawei Li, Eirikur Agustsson, Shuhang Gu, Luc Van Gool, Etienne de Stoutz, Nikolay Kobyshev, Kehui Nie, Yan Zhao, Gen Li, Tong Tong, Qinquan Gao, Liu Hanwen, Pablo Navarrete Michelini, Zhu Dan, Hu Fengshuo, Zheng Hui, Xiumei Wang, Lirui Deng, Rang Meng, Jinghui Qin, Yukai Shi, Wushao Wen, Liang Lin, Ruicheng Feng, Shixiang Wu, Chao Dong, Yu Qiao, Subeesh Vasu, Nimisha Thekke Madam, Praveen Kandula, A. N. Rajagopalan, Jie Liu, Cheolkon Jung

Erschienen in: Computer Vision – ECCV 2018 Workshops

Verlag: Springer International Publishing

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Abstract

This paper reviews the first challenge on efficient perceptual image enhancement with the focus on deploying deep learning models on smartphones. The challenge consisted of two tracks. In the first one, participants were solving the classical image super-resolution problem with a bicubic downscaling factor of 4. The second track was aimed at real-world photo enhancement, and the goal was to map low-quality photos from the iPhone 3GS device to the same photos captured with a DSLR camera. The target metric used in this challenge combined the runtime, PSNR scores and solutions’ perceptual results measured in the user study. To ensure the efficiency of the submitted models, we additionally measured their runtime and memory requirements on Android smartphones. The proposed solutions significantly improved baseline results defining the state-of-the-art for image enhancement on smartphones.

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Vorheriges Kapitel AI Benchmark: Running Deep Neural Networks on Android Smartphones
Nächstes Kapitel The 2018 PIRM Challenge on Perceptual Image Super-Resolution
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Metadaten
Titel
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
verfasst von
Andrey Ignatov
Radu Timofte
Thang Van Vu
Tung Minh Luu
Trung X Pham
Cao Van Nguyen
Yongwoo Kim
Jae-Seok Choi
Munchurl Kim
Jie Huang
Jiewen Ran
Chen Xing
Xingguang Zhou
Pengfei Zhu
Mingrui Geng
Yawei Li
Eirikur Agustsson
Shuhang Gu
Luc Van Gool
Etienne de Stoutz
Nikolay Kobyshev
Kehui Nie
Yan Zhao
Gen Li
Tong Tong
Qinquan Gao
Liu Hanwen
Pablo Navarrete Michelini
Zhu Dan
Hu Fengshuo
Zheng Hui
Xiumei Wang
Lirui Deng
Rang Meng
Jinghui Qin
Yukai Shi
Wushao Wen
Liang Lin
Ruicheng Feng
Shixiang Wu
Chao Dong
Yu Qiao
Subeesh Vasu
Nimisha Thekke Madam
Praveen Kandula
A. N. Rajagopalan
Jie Liu
Cheolkon Jung
Copyright-Jahr
2019
Buch
Computer Vision – ECCV 2018 Workshops

Print ISBN: 978-3-030-11020-8

Electronic ISBN: 978-3-030-11021-5

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-11021-5_20

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