東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Detecting Cloned Regions in Digital ...

Lemon, Christopher Douglas.

FindBook

Google Book

Amazon

博客來

Detecting Cloned Regions in Digital Images before and after Facebook Recompression.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Detecting Cloned Regions in Digital Images before and after Facebook Recompression./
作者:	Lemon, Christopher Douglas.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:	42 p.
附註:	Source: Masters Abstracts International, Volume: 83-12.
Contained By:	Masters Abstracts International83-12.
標題:	Multimedia communications. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29170152
ISBN:	9798819384336

Detecting Cloned Regions in Digital Images before and after Facebook Recompression.
Lemon, Christopher Douglas.

Detecting Cloned Regions in Digital Images before and after Facebook Recompression. - Ann Arbor : ProQuest Dissertations & Theses, 2022 - 42 p.

Source: Masters Abstracts International, Volume: 83-12.

Thesis (M.S.)--University of Colorado at Denver, 2022.

This item must not be sold to any third party vendors.

This day and age it's becoming increasingly difficult to know if you can trust the images that you see on your Facebook feed. The ease of use and availability of tools such as Adobe Photoshop make manipulating images a relatively straightforward and simple process. One such method of image manipulation is cloning pixels. Cloning pixels in an image is a method to both create copies of content within an image and/or remove content from an image. Forensic tools exist that can detect these cloned regions and can identify an image as having been manipulated in this way. This thesis investigates the effects that JPEG compression and Facebook recompression has on the ability to detect cloned regions in digital images.

ISBN: 9798819384336Subjects--Topical Terms:

590562
Multimedia communications.
Subjects--Index Terms:

Clone

Detecting Cloned Regions in Digital Images before and after Facebook Recompression.
LDR:01916nmm a2200409 4500 001 2394329
005 20240422070828.5
006 m o d
007 cr#unu||||||||
008 251215s2022 ||||||||||||||||| ||eng d
020 $a 9798819384336
035 $a (MiAaPQ)AAI29170152
035 $a AAI29170152
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lemon, Christopher Douglas. $3 3763799
245 1 0 $a Detecting Cloned Regions in Digital Images before and after Facebook Recompression.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2022
300 $a 42 p.
500 $a Source: Masters Abstracts International, Volume: 83-12.
500 $a Advisor: Grigoras, Catalin.
502 $a Thesis (M.S.)--University of Colorado at Denver, 2022.
506 $a This item must not be sold to any third party vendors.
520 $a This day and age it's becoming increasingly difficult to know if you can trust the images that you see on your Facebook feed. The ease of use and availability of tools such as Adobe Photoshop make manipulating images a relatively straightforward and simple process. One such method of image manipulation is cloning pixels. Cloning pixels in an image is a method to both create copies of content within an image and/or remove content from an image. Forensic tools exist that can detect these cloned regions and can identify an image as having been manipulated in this way. This thesis investigates the effects that JPEG compression and Facebook recompression has on the ability to detect cloned regions in digital images.
590 $a School code: 0765.
650 4 $a Multimedia communications. $3 590562
650 4 $a Computer science. $3 523869
650 4 $a Information technology. $3 532993
653 $a Clone
653 $a Compression
653 $a Copy-move
653 $a Detection
653 $a Facebook
653 $a JPEG
690 $a 0558
690 $a 0984
690 $a 0489
710 2 $a University of Colorado at Denver. $b Media Forensics. $3 3691794
773 0 $t Masters Abstracts International $g 83-12.
790 $a 0765
791 $a M.S.
792 $a 2022
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29170152