語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Perceptual image coding with discret...
~
Gan, Woon-Seng.
Perceptual image coding with discrete cosine transform[electronic resource] /
紀錄類型:
書目-電子資源 : Monograph/item
杜威分類號:
004.0151
書名/作者:
Perceptual image coding with discrete cosine transform/ by Ee-Leng Tan, Woon-Seng Gan.
作者:
Tan, Ee-Leng.
其他作者:
Gan, Woon-Seng.
出版者:
Singapore : : Springer Singapore :, 2015.
面頁冊數:
viii, 69 p. : : ill., digital ;; 24 cm.
Contained By:
Springer eBooks
標題:
Computer science - Mathematics.
標題:
Discrete cosine transforms.
標題:
Signal processing.
標題:
Image processing.
標題:
Computer engineering.
標題:
Engineering.
標題:
Signal, Image and Speech Processing.
標題:
Image Processing and Computer Vision.
標題:
Discrete Mathematics in Computer Science.
ISBN:
9789812875433 (electronic bk.)
ISBN:
9789812875426 (paper)
內容註:
Introduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
摘要、提要註:
This book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors' survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.
電子資源:
http://dx.doi.org/10.1007/978-981-287-543-3
Perceptual image coding with discrete cosine transform[electronic resource] /
Tan, Ee-Leng.
Perceptual image coding with discrete cosine transform
[electronic resource] /by Ee-Leng Tan, Woon-Seng Gan. - Singapore :Springer Singapore :2015. - viii, 69 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering. Signal processing,2191-8112. - SpringerBriefs in electrical and computer engineering.Signal processing..
Introduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
This book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors' survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.
ISBN: 9789812875433 (electronic bk.)
Standard No.: 10.1007/978-981-287-543-3doiSubjects--Topical Terms:
382369
Computer science
--Mathematics.
LC Class. No.: QA76.9.M35
Dewey Class. No.: 004.0151
Perceptual image coding with discrete cosine transform[electronic resource] /
LDR
:02544nmm a2200349 a 4500
001
438910
003
DE-He213
005
20151229164110.0
006
m d
007
cr nn 008maaau
008
160315s2015 si s 0 eng d
020
$a
9789812875433 (electronic bk.)
020
$a
9789812875426 (paper)
024
7
$a
10.1007/978-981-287-543-3
$2
doi
035
$a
978-981-287-543-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.9.M35
072
7
$a
TTBM
$2
bicssc
072
7
$a
UYS
$2
bicssc
072
7
$a
TEC008000
$2
bisacsh
072
7
$a
COM073000
$2
bisacsh
082
0 4
$a
004.0151
$2
23
090
$a
QA76.9.M35
$b
T161 2015
100
1
$a
Tan, Ee-Leng.
$3
626428
245
1 0
$a
Perceptual image coding with discrete cosine transform
$h
[electronic resource] /
$c
by Ee-Leng Tan, Woon-Seng Gan.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2015.
300
$a
viii, 69 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in electrical and computer engineering. Signal processing,
$x
2191-8112
505
0
$a
Introduction -- Computational Models for Just-Noticeable-Differences -- Perceptual Image Coding with Discrete Cosine Transform -- Validation of Computational Model for JND -- Concluding Remarks.
520
$a
This book first introduces classic as well as recent computational models for just-noticeable-difference (JND) applications. Since the discrete cosine transform (DCT) is applied in many image and video standards (JPEG, MPEG-1/2/4, H.261/3), the book also includes a comprehensive survey of computational models for JND that are based on DCT. The visual factors used in these computational models are reviewed in detail. Further, an extensive comparative analysis of these models using quantitative and qualitative performance criteria is presented, which compares the noise shaping performance of these models with subjective evaluation and the accuracy between the estimated JND thresholds and subjective evaluation. There are many surveys available on computational models for JND; however, these surveys seldom compare the performance of computational models that are based on DCT. The authors' survey of the computational models and their in-depth review of the visual factors used in them will help readers understand perceptual image coding based on DCT. The book also provides a comparative analysis of several perceptual image coders that are based on DCT, which are compatible with the highly popular and widely adopted JPEG standard.
650
0
$a
Computer science
$x
Mathematics.
$3
382369
650
0
$a
Discrete cosine transforms.
$3
626430
650
0
$a
Signal processing.
$3
174043
650
0
$a
Image processing.
$3
342096
650
0
$a
Computer engineering.
$3
411802
650
1 4
$a
Engineering.
$3
372756
650
2 4
$a
Signal, Image and Speech Processing.
$3
463860
650
2 4
$a
Image Processing and Computer Vision.
$3
463967
650
2 4
$a
Discrete Mathematics in Computer Science.
$3
464912
700
1
$a
Gan, Woon-Seng.
$3
626429
710
2
$a
SpringerLink (Online service)
$3
463450
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in electrical and computer engineering.
$p
Signal processing.
$3
610807
856
4 0
$u
http://dx.doi.org/10.1007/978-981-287-543-3
950
$a
Engineering (Springer-11647)
筆 0 讀者評論
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-981-287-543-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入