Motion deblurring : (Record no. 651988)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06867nam a22004818i 4500 |
| 001 - CONTROL NUMBER | |
| control field | CR9781107360181 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250930143540.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m|||||o||d|||||||| |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr|||||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130308s2014||||enk o ||1 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781107360181 (ebook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781107044364 (hardback) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781107621497 (paperback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UkCbUP |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | UkCbUP |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1637.5 |
| Item number | .M68 2014 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.6 |
| Edition information | 23 |
| 245 00 - TITLE STATEMENT | |
| Title | Motion deblurring : |
| Remainder of title | algorithms and systems / |
| Statement of responsibility, etc. | edited by A.N. Rajagopalan, Indian Institute of Technology, Madras, Rama Chellappa, University of Maryland, College Park. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cambridge : |
| Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xiv, 293 pages) : |
| Other physical details | digital, PDF file(s). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Machine generated contents note: 1. Mathematical models and practical solvers for uniform motion deblurring / Jiaya Jia -- 1.1. Non-blind deconvolution -- 1.2. Blind deconvolution -- 2. Spatially-varying image deblurring / Richard Szeliski -- 2.1. Review of image deblurring methods -- 2.2.A unified camera-shake blur model -- 2.3. Single image deblurring using motion density functions -- 2.4. Image deblurring using inertial measurement sensors -- 2.5. Generating sharp panoramas from motion-blurred videos -- 2.6. Discussion -- 3. Hybrid-imaging for motion deblurring / Shree K. Nayar -- 3.1. Introduction -- 3.2. Fundamental resolution tradeoff -- 3.3. Hybrid-imaging systems -- 3.4. Shift-invariant PSF image deblurring -- 3.5. Spatially-varying PSF image deblurring -- 3.6. Moving object deblurring -- 3.7. Discussion and summary -- 4. Efficient, blind, spatially-variant deblurring for shaken images / Jean Ponce -- 4.1. Introduction -- 4.2. Modelling spatially-variant camera-shake blur. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Contents note continued: 13.8. Summary and discussion. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Contents note continued: 11. Coded exposure motion deblurring for recognition / Scott McCloskey -- 11.1. Motion sensitivity of iris recognition -- 11.2. Coded exposure -- 11.3. Coded exposure performance on iris recognition -- 11.4. Barcodes -- 11.5. More general subject motion -- 11.6. Implications of computational imaging for recognition -- 11.7. Conclusion -- 12. Direct recognition of motion-blurred faces / Rama Chellappa -- 12.1. Introduction -- 12.2. The set of all motion-blurred images -- 12.3. Bank of classifiers approach for recognizing motion-blurred faces -- 12.4. Experimental evaluation -- 12.5. Discussion -- 13. Performance limits for motion deblurring cameras / Mohit Gupta -- 13.1. Introduction -- 13.2. Performance bounds for flutter shutter cameras -- 13.3. Performance bound for motion-invariant cameras -- 13.4. Simulations to verify performance bounds -- 13.5. Role of image priors -- 13.6. When to use computational imaging -- 13.7. Relationship to other computational imaging systems. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Contents note continued: 7.7. Optimized codes for PSF estimation -- 7.8. Implementation -- 7.9. Analysis -- 7.10. Summary -- 8. Richardson-Lucy deblurring for scenes under a projective motion path / Michael S. Brown -- 8.1. Introduction -- 8.2. Related work -- 8.3. The projective motion blur model -- 8.4. Projective motion Richardson--Lucy -- 8.5. Motion estimation -- 8.6. Experiment results -- 8.7. Discussion and conclusion -- 9. HDR imaging in the presence of motion blur / A.N. Rajagopalan -- 9.1. Introduction -- 9.2. Existing approaches to HDRJ -- 9.3. CRF, irradiance estimation, and tone-mapping -- 9.4. HDR imaging under uniform blurring -- 9.5. HDRI for non-uniform blurring -- 9.6. Experimental results -- 9.7. Conclusions and discussions -- 10.Compressive video sensing to tackle motion blur / Dikpal Reddy -- 10.1. Introduction -- 10.2. Related work -- 10.3. Imaging architecture -- 10.4. High-speed video recovery -- 10.5. Experimental results -- 10.6. Conclusions. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Contents note continued: 4.3. The computational model -- 4.4. Blind estimation of blur from a single image -- 4.5. Efficient computation of the spatially-variant model -- 4.6. Single-image deblurring results -- 4.7. Implementation -- 4.8. Conclusion -- 5. Removing camera shake in smartphones without hardware stabilization / Jan Flusser -- 5.1. Introduction -- 5.2. Image acquisition model -- 5.3. Inverse problem -- 5.4. Pinhole camera model -- 5.5. Smartphone application -- 5.6. Evaluation -- 5.7. Conclusions -- 6. Multi-sensor fusion for motion deblurring / Jlngyi Yu -- 6.1. Introduction -- 6.2. Hybrid-speed sensor -- 6.3. Motion deblurring -- 6.4. Depth map super-resolution -- 6.5. Extensions to low-light imaging -- 6.6. Discussion and summary -- 7. Motion deblurring using fluttered shutter / Amit Agrawal -- 7.1. Related work -- 7.2. Coded exposure photography -- 7.3. Image deconvolution -- 7.4. Code selection -- 7.5. Linear solution for deblurring -- 7.6. Resolution enhancement. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | A comprehensive guide to restoring images degraded by motion blur, bridging the traditional approaches and emerging computational photography-based techniques, and bringing together a wide range of methods emerging from basic theory as well as cutting-edge research. It encompasses both algorithms and architectures, providing detailed coverage of practical techniques by leading researchers. From an algorithms perspective, blind and non-blind approaches are discussed, including the use of single or multiple images; projective motion blur model; image priors and parametric models; high dynamic range imaging in the irradiance domain; and image recognition in blur. Performance limits for motion deblurring cameras are also presented. From a systems perspective, hybrid frameworks combining low-resolution-high-speed and high-resolution-low-speed cameras are described, along with the use of inertial sensors and coded exposure cameras. Also covered is an architecture exploiting compressive sensing for video recovery. A valuable resource for researchers and practitioners in computer vision, image processing, and related fields. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Image processing |
| General subdivision | Mathematics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Image processing |
| General subdivision | Digital techniques. |
| 9 (RLIN) | 59990 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Digital video |
| General subdivision | Editing |
| -- | Mathematics. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Photography |
| General subdivision | Retouching |
| -- | Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Motion |
| General subdivision | Mathematical models. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rajagopalan, A. N., |
| Relator term | editor. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Chellappa, Rama, |
| Relator term | editor. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781107044364 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1017/CBO9781107360181">https://doi.org/10.1017/CBO9781107360181</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b1684645x |
| b | 2020-12-22 |
| c | 2020-12-22 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Suppress in OPAC | No |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Library | |
| Operator's initials, OID (RLIN) | 2020-12-22 |
| Cataloger's initials, CIN (RLIN) | m |
| Material Type (Sierra) | Printed Books |
| Language | English |
| Country | |
| -- | 0 |
| -- | .b1684645x |
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