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 |