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Digital image enhancement and reconstruction /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Digital image enhancement and reconstruction // edited by Shyam Singh Rajput ... [et al.]
other author:	Rajput, Shyam Singh.
Published:	London ;Academic Press, : 2023.,
Description:	xxi, 355 p. :ill. (some col.) ; : 23 cm.;
Subject:	Digital images. -
ISBN:	9780323983709 (pbk.) :

Digital image enhancement and reconstruction /
Digital image enhancement and reconstruction /edited by Shyam Singh Rajput ... [et al.] - London ;Academic Press,2023. - xxi, 355 p. :ill. (some col.) ;23 cm. - Hybrid computational intelligence for pattern analysis and understanding series. - Hybrid computational intelligence for pattern analysis and understanding series.

Includes bibliographical references and index.

Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.

ISBN: 9780323983709 (pbk.) :NT5495 Subjects--Topical Terms:

886827
Digital images.

LC Class. No.: TA1637 / .D54 2023

Dewey Class. No.: 777/.5

Digital image enhancement and reconstruction /
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245 0 0 $a Digital image enhancement and reconstruction / $c edited by Shyam Singh Rajput ... [et al.]
260 # $a London ; $a San Diego, CA : $b Academic Press, $c 2023.
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490 1 $a Hybrid computational intelligence for pattern analysis and understanding series
504 $a Includes bibliographical references and index.
520 # $a Digital Image Enhancement and Reconstruction: Techniques and Applications explores different concepts and techniques used for the enhancement as well as reconstruction of low-quality images. Most real-life applications require good quality images to gain maximum performance, however, the quality of the images captured in real-world scenarios is often very unsatisfactory. Most commonly, images are noisy, blurry, hazy, tiny, and hence need to pass through image enhancement and/or reconstruction algorithms before they can be processed by image analysis applications. This book comprehensively explores application-specific enhancement and reconstruction techniques including satellite image enhancement, face hallucination, low-resolution face recognition, medical image enhancement and reconstruction, reconstruction of underwater images, text image enhancement, biometrics, etc. Chapters will present a detailed discussion of the challenges faced in handling each particular kind of image, analysis of the best available solutions, and an exploration of applications and future directions. The book provides readers with a deep dive into denoising, dehazing, super-resolution, and use of soft computing across a range of engineering applications.
650 # 0 $a Digital images. $3 886827
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700 1 # $a Rajput, Shyam Singh. $3 1419408
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