國立虎尾科技大學 |

登入

回首頁

Digital image enhancement and reconstruction /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Digital image enhancement and reconstruction // edited by Shyam Singh Rajput ... [et al.]
其他作者:	Rajput, Shyam Singh.
出版者:	London ;Academic Press, : 2023.,
面頁冊數:	xxi, 355 p. :ill. (some col.) ; : 23 cm.;
標題:	Image processing - Digital techniques. -
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:

555959
Image processing
--Digital techniques.

LC Class. No.: TA1637 / .D54 2023

Dewey Class. No.: 777/.5

Digital image enhancement and reconstruction /
LDR:02077cam a2200229 a 4500 001 1108533
003 UkOxU
005 20230515090151.0
008 231031s2023 enka b 001 0 eng d
020 $a 9780323983709 (pbk.) : $c NT5495
020 $a 0323983707 (pbk.)
035 $a (OCoLC)1347222916 $z (OCoLC)1352038856
035 $a 023365888
040 $a YDX $b eng $e aacr2 $c YDX $d UKAHL $d YDX $d OCLCF $d OPELS $d N$T
049 $a EQOA
050 # 4 $a TA1637 $b .D54 2023
082 0 4 $a 777/.5 $2 23
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.
300 $a xxi, 355 p. : $b ill. (some col.) ; $c 23 cm.
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 Image processing $x Digital techniques. $3 555959
650 # 0 $a Digital images. $3 886827
700 1 # $a Rajput, Shyam Singh. $3 1419408
830 0 $a Hybrid computational intelligence for pattern analysis and understanding series $3 1419409