Title:
A METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR REMOVING WEATHER ELEMENTS FROM IMAGES
Document Type and Number:
WIPO Patent Application WO/2018/035849
Kind Code:
A1
Abstract:
A method, apparatus and computer program product for removing weather elements, such as rain, from images are provided. In this regard, imagery from self-driving cars or video surveillance may be blurred by weather elements. The weather elements may be removed by utilizing pure weather element images. The pure weather element images may be processed by machine learning techniques to model pure weather element data, and generate a pure weather element dictionary. Imagery including both weather elements and background scenery may then be processed accordingly, and the weather elements removed based on the learned pure weather element dictionary. Resulting weather-free images may then be generated.
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Inventors:
LI YAZHAO (CN)
Application Number:
PCT/CN2016/096897
Publication Date:
March 01, 2018
Filing Date:
August 26, 2016
Export Citation:
Assignee:
NOKIA TECHNOLOGIES OY (FI)
NOKIA TECH BEIJING CO LTD (CN)
NOKIA TECH BEIJING CO LTD (CN)
International Classes:
G06V10/30
Foreign References:
| US20130236116A1 | 2013-09-12 | |||
| US20150169632A1 | 2015-06-18 | |||
| US20150178591A1 | 2015-06-25 | |||
| US20120162425A1 | 2012-06-28 | |||
| CN105447100A | 2016-03-30 | |||
| US20130236116A1 | 2013-09-12 |
Other References:
JULIEN MAIRAL ET AL.: "Online Learning for Matrix Factorization and Sparse Coding", JOURNAL OF MACHINE LEARNING RESEARCH, vol. 11, pages 19 - 60, XP058336358
See also references of EP 3504663A4
See also references of EP 3504663A4
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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