NDLI: Recovery techniques for images and videos with missing data in disaster situation

Content Provider	IEEE Xplore Digital Library
Author	Kawamata, M. Sakamoto, S. Abe, M.
Copyright Year	2012
Description	Author affiliation: Dept. of Electronic Engineering, Graduate School of Engineering, Tohoku University, 6-6-05, Aza-Aoba, Aramaki, Aoba-ku, Sendai, 980-8579 Japan (Kawamata, M.; Sakamoto, S.; Abe, M.)
Abstract	This research aims at developing recovery techniques for images and videos with missing data due to instability of communications networks in disaster situations. In heavy disaster situations like the Great East Japan Earthquake, instability of communications networks causes packet loss or bit error. Then, some data of transmitted images (videos) are lost and thus there appear regions without information, which are called missing data. Missing data in an image will appear in rectangular regions shown in Fig. 1(b) because block coding is generally used. Recovery techniques for images (video) with missing data need not to provide high quality images, but to provide medium quality images without break. This demands low power recovery algorithms with fewer computational burdens. Recovery problem for images (vidoes) with missing data is regarded as one of noise reduction problems in the fields of signal, image and video processing. Many noise reduction techniques deal with relatively small amplitude additive noise to each pixel in an image, but missing data are considered to be large amplitude noise appeared in rectangular regions because of their nature of information loss. Thus, nonlinear signal signal processing (median filtering, morphological filtering [1], and image inpainting [2], etc.) is needed rather than general linear signal processing. Figure 1, Tables I and II show an example of recovery from Lena image with missing data by image inpainting technique. Furthermore, recovery techniques for images (videos) with missing data are akin to image and video processing techniques for old film sequences including film displacement, blotch and line scratch. Recovery techniques developed in Refs. [4] and [5] can be applied.
Starting Page	352
Ending Page	352
File Size	201910
Page Count	1
File Format	PDF
ISBN	9781467345330
ISSN	18825621
e-ISBN	9789860334074
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-24
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	NiCT
Subject Keyword	Noise reduction Signal processing Educational institutions Motion pictures Electronic mail Communication networks Videos
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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