語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Super-Resolution : = Restoring Architectural Images.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Super-Resolution :/
其他題名:
Restoring Architectural Images.
作者:
Ang, Jian.
面頁冊數:
1 online resource (60 pages)
附註:
Source: Masters Abstracts International, Volume: 84-11.
Contained By:
Masters Abstracts International84-11.
標題:
Design. -
電子資源:
click for full text (PQDT)
ISBN:
9798379444174
Super-Resolution : = Restoring Architectural Images.
Ang, Jian.
Super-Resolution :
Restoring Architectural Images. - 1 online resource (60 pages)
Source: Masters Abstracts International, Volume: 84-11.
Thesis (M.S.)--Miami University, 2023.
Includes bibliographical references
Image super-resolution (SR) is a classic problem in image restoration, which aims to reconstruct a high-resolution (HR) image with realistic details from a low-resolution (LR) image. The challenge lies in the fact that SR models need to `imagine' details that may not exist in the LR image. Although recent state-of-art super-resolution models have made great improvements in performance, the models we have found are trained for open domain SR use. Our research addresses the lack of high-quality architectural images on the internet, including popular web mapping platforms like Google Maps 360◦ Streetview and Bing Streetside by proposing a super-resolution model refined for architectural images. We use a domain-specific dataset of architectural images of building facades collected by our team to train our model in order to analyze the performance of a specialized model over general super-resolution models. We modify the model architecture to generate better results in terms of perceptual realism, sharpness and fine details. In this paper, we introduce a super-resolution model specialized in architectural images to fill a void in the state-of-art SR model offerings.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798379444174Subjects--Topical Terms:
595500
Design.
Subjects--Index Terms:
Super-resolutionIndex Terms--Genre/Form:
554714
Electronic books.
Super-Resolution : = Restoring Architectural Images.
LDR
:02582ntm a22004217 4500
001
1142949
005
20240513061031.5
006
m o d
007
cr mn ---uuuuu
008
250605s2023 xx obm 000 0 eng d
020
$a
9798379444174
035
$a
(MiAaPQ)AAI30509703
035
$a
(MiAaPQ)OhioLINKmiami1681993985995992
035
$a
AAI30509703
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Ang, Jian.
$3
1467483
245
1 0
$a
Super-Resolution :
$b
Restoring Architectural Images.
264
0
$c
2023
300
$a
1 online resource (60 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Masters Abstracts International, Volume: 84-11.
500
$a
Advisor: Femiani, John.
502
$a
Thesis (M.S.)--Miami University, 2023.
504
$a
Includes bibliographical references
520
$a
Image super-resolution (SR) is a classic problem in image restoration, which aims to reconstruct a high-resolution (HR) image with realistic details from a low-resolution (LR) image. The challenge lies in the fact that SR models need to `imagine' details that may not exist in the LR image. Although recent state-of-art super-resolution models have made great improvements in performance, the models we have found are trained for open domain SR use. Our research addresses the lack of high-quality architectural images on the internet, including popular web mapping platforms like Google Maps 360◦ Streetview and Bing Streetside by proposing a super-resolution model refined for architectural images. We use a domain-specific dataset of architectural images of building facades collected by our team to train our model in order to analyze the performance of a specialized model over general super-resolution models. We modify the model architecture to generate better results in terms of perceptual realism, sharpness and fine details. In this paper, we introduce a super-resolution model specialized in architectural images to fill a void in the state-of-art SR model offerings.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2024
538
$a
Mode of access: World Wide Web
650
4
$a
Design.
$3
595500
650
4
$a
Computer engineering.
$3
569006
650
4
$a
Computer science.
$3
573171
653
$a
Super-resolution
653
$a
Architectural super-resolution
653
$a
Image reconstruction
653
$a
Window SR
653
$a
Architectural SR
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0984
690
$a
0389
690
$a
0464
690
$a
0729
710
2
$a
Miami University.
$b
Computer Science and Software Engineering.
$3
1467484
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
773
0
$t
Masters Abstracts International
$g
84-11.
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30509703
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入