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Combating bad weather. (Record no. 562110)

000 -LEADER
fixed length control field 06209nam a2200781 i 4500
001 - CONTROL NUMBER
control field 7039333
003 - CONTROL NUMBER IDENTIFIER
control field IEEE
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200413152916.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m eo d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cn |||m|||a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 150117s2015 caua foab 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781627055871
Qualifying information ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781627055864
Qualifying information print
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.2200/S00601ED1V01Y201410IVM017
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (CaBNVSL)swl00404600
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)900340905
040 ## - CATALOGING SOURCE
Original cataloging agency CaBNVSL
Language of cataloging eng
Description conventions rda
Transcribing agency CaBNVSL
Modifying agency CaBNVSL
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA1637
Item number .M8532 2015
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.367
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Mukhopadhyay, Sudipta.,
Relator term author.
245 10 - TITLE STATEMENT
Title Combating bad weather.
Number of part/section of a work Part II,
Name of part/section of a work Fog removal from image and video /
Statement of responsibility, etc. Sudipta Mukhopadhyay, Abhishek Kumar Tripathi.
246 30 - VARYING FORM OF TITLE
Title proper/short title Fog removal from image and video.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture San Rafael, California (1537 Fourth Street, San Rafael, CA 94901 USA) :
Name of producer, publisher, distributor, manufacturer Morgan & Claypool,
Date of production, publication, distribution, manufacture, or copyright notice 2015.
300 ## - PHYSICAL DESCRIPTION
Extent 1 PDF (xiii, 70 pages) :
Other physical details illustrations.
336 ## - CONTENT TYPE
Content type term text
Source rdacontent
337 ## - MEDIA TYPE
Media type term electronic
Source isbdmedia
338 ## - CARRIER TYPE
Carrier type term online resource
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement Synthesis lectures on image, video, and multimedia processing,
International Standard Serial Number 1559-8144 ;
Volume/sequential designation # 17
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
538 ## - SYSTEM DETAILS NOTE
System details note System requirements: Adobe Acrobat Reader.
500 ## - GENERAL NOTE
General note Part of: Synthesis digital library of engineering and computer science.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 66-69).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction -- 1.1 Video post-processing -- 1.2 Motivation --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 2. Analysis of fog -- 2.1 Overview -- 2.1.1 Framework --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 3. Dataset and performance metrics -- 3.1 Foggy images and videos -- 3.2 Performance metrics -- 3.2.1 Contrast gain (Cgain) -- 3.2.2 Percentage of the number of saturated pixels -- 3.2.3 Computation time -- 3.2.4 Root mean square (RMS) error -- 3.2.5 Perceptual quality metric (PQM) --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 4. Important fog removal algorithms -- 4.1 Enhancement-based methods -- 4.2 Restoration-based methods -- 4.2.1 Multiple image-based restoration techniques -- 4.2.2 Single image-based restoration techniques --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 5. Single-image fog removal using an anisotropic diffusion -- 5.1 Introduction -- 5.2 Fog removal algorithm -- 5.2.1 Initialization of airlight map -- 5.2.2 Airlight map refinement -- 5.2.3 Behavior of anisotropic diffusion -- 5.2.4 Restoration -- 5.2.5 Post-processing -- 5.3 Simulation and results -- 5.4 Conclusion --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 6. Video fog removal framework using an uncalibrated single camera system -- 6.1 Introduction -- 6.2 Challenges of realtime implementation -- 6.3 Video fog removal framework -- 6.3.1 MPEG coding -- 6.4 Simulation and results -- 6.5 Conclusion --
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 7. Conclusions and future directions -- Bibliography -- Authors' biographies.
506 1# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0# - CITATION/REFERENCES NOTE
Name of source Compendex
510 0# - CITATION/REFERENCES NOTE
Name of source INSPEC
510 0# - CITATION/REFERENCES NOTE
Name of source Google scholar
510 0# - CITATION/REFERENCES NOTE
Name of source Google book search
520 3# - SUMMARY, ETC.
Summary, etc. Every year lives and properties are lost in road accidents. About one-fourth of these accidents are due to low vision in foggy weather. At present, there is no algorithm that is specifically designed for the removal of fog from videos. Application of a single-image fog removal algorithm over each video frame is a time-consuming and costly affair. It is demonstrated that with the intelligent use of temporal redundancy, fog removal algorithms designed for a single image can be extended to the real-time video application. Results confirm that the presented framework used for the extension of the fog removal algorithms for images to videos can reduce the complexity to a great extent with no loss of perceptual quality. This paves the way for the real-life application of the video fog removal algorithm. In order to remove fog, an efficient fog removal algorithm using anisotropic diffusion is developed. The presented fog removal algorithm uses new dark channel assumption and anisotropic diffusion for the initialization and refinement of the airlight map, respectively. Use of anisotropic diffusion helps to estimate the better airlight map estimation. The said fog removal algorithm requires a single image captured by uncalibrated camera system. The anisotropic diffusion-based fog removal algorithm can be applied in both RGB and HSI color space. This book shows that the use of HSI color space reduces the complexity further. The said fog removal algorithm requires pre- and post-processing steps for the better restoration of the foggy image. These pre- and post-processing steps have either data-driven or constant parameters that avoid the user intervention. Presented fog removal algorithm is independent of the intensity of the fog, thus even in the case of the heavy fog presented algorithm performs well. Qualitative and quantitative results confirm that the presented fog removal algorithm outperformed previous algorithms in terms of perceptual quality, color fidelity and execution time. The work presented in this book can find wide application in entertainment industries, transportation, tracking and consumer electronics.
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Also available in print.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Title from PDF title page (viewed on January 17, 2015).
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
General subdivision Digital techniques.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Digital video.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer vision.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fog
General subdivision Pictorial works.
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term bad weather
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term image enhancement
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term fog
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term attenuation
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term airlight
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term atmospheric visibility
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term anisotropic diffusion
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term image contrast
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term temporal redundancy
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term video enhancement
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term outdoor vision and weather
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Tripathi, Abhishek Kumar.,
Relator term author.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781627055864
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis digital library of engineering and computer science.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Synthesis lectures on image, video, and multimedia processing ;
Volume/sequential designation # 17.
International Standard Serial Number 1559-8144
856 42 - ELECTRONIC LOCATION AND ACCESS
Materials specified Abstract with links to resource
Uniform Resource Identifier http://ieeexplore.ieee.org/servlet/opac?bknumber=7039333
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Barcode Date last seen Price effective from Koha item type
        PK Kelkar Library, IIT Kanpur PK Kelkar Library, IIT Kanpur 2020-04-13 EBKE610 2020-04-13 2020-04-13 E books

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