Modern Image Quality Assessment (Record no. 86036)

000 -LEADER
fixed length control field 03992nam a22005175i 4500
001 - CONTROL NUMBER
control field 978-3-031-02238-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730165009.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2006 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031022388
-- 978-3-031-02238-8
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Wang, Zhou.
245 10 - TITLE STATEMENT
Title Modern Image Quality Assessment
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2006.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 146 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Image, Video, and Multimedia Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Bottom-Up Approaches for Full-Reference Image Quality Assessment -- Top-Down Approaches for Full-Reference Image Quality Assessment -- No-Reference Image Quality Assessment -- Reduced-Reference Image Quality Assessment -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc This Lecture book is about objective image quality assessment-where the aim is to provide computational models that can automatically predict perceptual image quality. The early years of the 21st century have witnessed a tremendous growth in the use of digital images as a means for representing and communicating information. A considerable percentage of this literature is devoted to methods for improving the appearance of images, or for maintaining the appearance of images that are processed. Nevertheless, the quality of digital images, processed or otherwise, is rarely perfect. Images are subject to distortions during acquisition, compression, transmission, processing, and reproduction. To maintain, control, and enhance the quality of images, it is important for image acquisition, management, communication, and processing systems to be able to identify and quantify image quality degradations. The goals of this book are as follows; a) to introduce the fundamentals of image quality assessment, and to explain the relevant engineering problems, b) to give a broad treatment of the current state-of-the-art in image quality assessment, by describing leading algorithms that address these engineering problems, and c) to provide new directions for future research, by introducing recent models and paradigms that significantly differ from those used in the past. The book is written to be accessible to university students curious about the state-of-the-art of image quality assessment, expert industrial R&D engineers seeking to implement image/video quality assessment systems for specific applications, and academic theorists interested in developing new algorithms for image quality assessment or using existing algorithms to design or optimize other image processing applications.
700 1# - AUTHOR 2
Author 2 Bovik, Alan C.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02238-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2006.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Technology and Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1559-8144
912 ## -
-- ZDB-2-SXSC

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