untitled

Similar documents
Wavelet HSI / [1] JPEG2000 9/7Wavelet [2][6] 2:1 9/7Wavelet Wavelet 80 Wavelet i

7,, i

2 ( ) i

28 Horizontal angle correction using straight line detection in an equirectangular image

12 DCT A Data-Driven Implementation of Shape Adaptive DCT

JOURNAL OF THE JAPANESE ASSOCIATION FOR PETROLEUM TECHNOLOGY VOL. 66, NO. 6 (Nov., 2001) (Received August 10, 2001; accepted November 9, 2001) Alterna

25 Removal of the fricative sounds that occur in the electronic stethoscope

4.1 % 7.5 %

2007-Kanai-paper.dvi

2017 (413812)

浜松医科大学紀要

IPSJ SIG Technical Report Vol.2016-CE-137 No /12/ e β /α α β β / α A judgment method of difficulty of task for a learner using simple

Web Web Web Web Web, i

soturon.dvi

1 1 tf-idf tf-idf i

<95DB8C9288E397C389C88A E696E6462>

デジタルカメラ用ISP:Milbeaut

井手友里子.indd

SURF,,., 55%,.,., SURF(Speeded Up Robust Features), 4 (,,, ), SURF.,, 84%, 96%, 28%, 32%.,,,. SURF, i

,,,,., C Java,,.,,.,., ,,.,, i

n 2 n (Dynamic Programming : DP) (Genetic Algorithm : GA) 2 i

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow

kut-paper-template.dvi

, (GPS: Global Positioning Systemg),.,, (LBS: Local Based Services).. GPS,.,. RFID LAN,.,.,.,,,.,..,.,.,,, i

24 Region-Based Image Retrieval using Fuzzy Clustering

21 Key Exchange method for portable terminal with direct input by user

untitled

1..FEM FEM 3. 4.

Bull. of Nippon Sport Sci. Univ. 47 (1) Devising musical expression in teaching methods for elementary music An attempt at shared teaching

II

..,,,, , ( ) 3.,., 3.,., 500, 233.,, 3,,.,, i

GPGPU

_念3)医療2009_夏.indd

Vol.54 No (July 2013) [9] [10] [11] [12], [13] 1 Fig. 1 Flowchart of the proposed system. c 2013 Information

2015 ( 27 ) RFID RF RFID, 2., 3., 4. i

161 J 1 J 1997 FC 1998 J J J J J2 J1 J2 J1 J2 J1 J J1 J1 J J 2011 FIFA 2012 J 40 56

220 28;29) 30 35) 26;27) % 8.0% 9 36) 8) 14) 37) O O 13 2 E S % % 2 6 1fl 2fl 3fl 3 4

29 jjencode JavaScript

( ) [1] [4] ( ) 2. [5] [6] Piano Tutor[7] [1], [2], [8], [9] Radiobaton[10] Two Finger Piano[11] Coloring-in Piano[12] ism[13] MIDI MIDI 1 Fig. 1 Syst

24 Depth scaling of binocular stereopsis by observer s own movements

ron.dvi




udc-2.dvi

Sobel Canny i


IT i

Table 1. Assumed performance of a water electrol ysis plant. Fig. 1. Structure of a proposed power generation system utilizing waste heat from factori

企業の信頼性を通じたブランド構築に関する考察

, IT.,.,..,.. i

SPSS

(Visual Secret Sharing Scheme) VSSS VSSS 3 i

untitled

卒業論文2.dvi

PC PDA SMTP/POP3 1 POP3 SMTP MUA MUA MUA i

kut-paper-template2.dvi

,,,,,,,,,,,,,,,,,,, 976%, i

28 TCG SURF Card recognition using SURF in TCG play video

untitled

10-渡部芳栄.indd

Corrections of the Results of Airborne Monitoring Surveys by MEXT and Ibaraki Prefecture

Studies of Foot Form for Footwear Design (Part 9) : Characteristics of the Foot Form of Young and Elder Women Based on their Sizes of Ball Joint Girth

2 1 ( ) 2 ( ) i

P2P P2P peer peer P2P peer P2P peer P2P i

WikiWeb Wiki Web Wiki 2. Wiki 1 STAR WARS [3] Wiki Wiki Wiki 2 3 Wiki 5W1H Wiki Web 2.2 5W1H 5W1H 5W1H 5W1H 5W1H 5W1H 5W1H 2.3 Wiki 2015 Informa

kut-paper-template.dvi

大学における原価計算教育の現状と課題

Web Basic Web SAS-2 Web SAS-2 i

卒業論文はMS-Word により作成して下さい

THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE.


25 fmri A study of discrimination of musical harmony using brain activity obtained by fmri

〈論文〉組織改革の成果に関する予備的調査--社内カンパニー制導入が財務的業績に与える影響

FabHetero FabHetero FabHetero FabCache FabCache SPEC2000INT IPC FabCache 0.076%

Fig. 4. Configuration of fatigue test specimen. Table I. Mechanical property of test materials. Table II. Full scale fatigue test conditions and test

28 Docker Design and Implementation of Program Evaluation System Using Docker Virtualized Environment


29 Short-time prediction of time series data for binary option trade

2016 [1][2] H.264/AVC HEVC HEVC

A Feasibility Study of Direct-Mapping-Type Parallel Processing Method to Solve Linear Equations in Load Flow Calculations Hiroaki Inayoshi, Non-member

Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Virtual Window System Social Networking

IT,, i

CA HP,,,,,,.,,,,,,.,,,,,,.,,,,,,.,,,,,,.,,,,,,.,,,,,,.,,,,,.,,,,,.,,,,,.,,,,,.,,,,,.,,,,,.,,,,,.,,,,,.,,,,,,.,,,,,.,,,,,,.,,,,,.,,,,,.,,,,,,.,,,,,,.,,

,,.,.,,.,.,.,.,,.,..,,,, i

論 文 Earnings Management in Pension Accounting and Revised Jones Model Kazuo Yoshida, Nagoya City University 要約本稿では退職給付会計における全ての会計選択を取り上げて 経営者の報告利益管理行動

07_伊藤由香_様.indd


,,.,,.,..,.,,,.,, Aldous,.,,.,,.,,, NPO,,.,,,,,,.,,,,.,,,,..,,,,.,

ii

Input image Initialize variables Loop for period of oscillation Update height map Make shade image Change property of image Output image Change time L

23 Study on Generation of Sudoku Problems with Fewer Clues



L1 What Can You Blood Type Tell Us? Part 1 Can you guess/ my blood type? Well,/ you re very serious person/ so/ I think/ your blood type is A. Wow!/ G

zz + 3i(z z) + 5 = 0 + i z + i = z 2i z z z y zz + 3i (z z) + 5 = 0 (z 3i) (z + 3i) = 9 5 = 4 z 3i = 2 (3i) zz i (z z) + 1 = a 2 {

1 [1, 2, 3, 4, 5, 8, 9, 10, 12, 15] The Boston Public Schools system, BPS (Deferred Acceptance system, DA) (Top Trading Cycles system, TTC) cf. [13] [

2

4 i

On the Wireless Beam of Short Electric Waves. (VII) (A New Electric Wave Projector.) By S. UDA, Member (Tohoku Imperial University.) Abstract. A new e

Transcription:

17 2 Realization on the Direct Two-dimensional Wavelet Transform 1060341 2006 3 10

2 JPEG JPEG2000 [1] X-Y X 1 Y 1 VGA 1 1MBte LSI LSI 2 2 5/3 [2][3] 2 5/3 9/7 7 7 N X M Y 32N M 10N M X-Y 9/7 4 1.67 1 9/7 3 2 2 2 3 3 i

2 9/7 12N M 5.5N M 2 9/7 37.5% 55% X-Y 9/7 50% 8% VGA 1 1MBte LSI 16bit SN SN 67 [db] 2 ii

Abstract Realization on the Direct Two-dimensional Wavelet Transform Akihiro CHIBA Recentl, various standards are proposed to improve compression efficienc of an image. In JPEG2000, which is the net generation standard of still picture compression, Discrete Wavelet Transform (DWT) is used for the transformation[1]. Transformation efficienc of DWT depend on image size, where the larger the size is, the higher the efficienc is. Consider a processing of X-Y separable DWT. First, it is one dimension transformed in X direction. Then, the transformed result is recorded to temporal memor. Second, Y direction DWT processing starts using the recorded results. Therefore, the temporal memor size becomes nearl 1M Bte in VGA size picture processing. If a X-Y separable DWT is implemented in a LSI chip, this large memor causes large LSI chip size. On the other hand, multi-core LSI can increase operating performance as well as loweritspowerdissipationinrecentlsis. Therefore, even if a number of DWT operations increases, a method of ecluding large capacit memor should be chosen. The reported Direct Two-dimensional 5/3 Wavelet Transform without memor (2D 5/3 wavelet)[2] is derived, based on this strateg[3]. However, 9/7 wavelet transform processing without memor on the structure of the reported 2D 5/3 wavelet leads to a huge number of operations. The reason is that 9/7 wavelet transform use 7 order filters instead of 3 order filters. When a picture has N piels in X direction and M piels in Y direction, a number of required additions iii

becomes 32N M, and that of multiplications becomes 10N M. Thisis4times additions and 1.6 times more multiplications, compared to those for X-Y separable 9/7 DWT. This thesis proposes a new Direct Two-dimensional Wavelet Transform. The new methodisbasedonemploing3orderfilters for the one dimensional 9/7 lifting structure. This strateg means that a higher order filter should be constructed b the combination of lower order filters. A high order filter is realized b a tandem connection of 3 order filters. This strateg leads a general method to construct Direct Two-dimensional Wavelet Transform without memor. For instance, this strateg can generate higher order filter than 9 order filter which is used to 9/7 wavelet transform. This strateg decreases a required number of operations for 2D 9/7 wavelet transform without memor. As a result, a number of additions becomes 12N M and that of multiplications becomes 5.5N M. This result shows that a total number of additions becomes 37.5% and that of multiplications becomes 55%, compare to reported 9/7 transform on the 5/3 transform structure. When these operations are compared to those for X-Y separated DWT, a number of additions increases 50% but that of multiplications decreases about 8%. Although the proposed method increases number of additions, the method enables ecluding temporal memor. As a result, required LSI size will be decreased. In addition, this method is simulated for LSI sstem implementation. This simulation verif that 16 bit operations generate a lot of noise b rounding errors. The obtained signal to noise ratio (S/N) becomes 67 [db]. ke words Direct 2-D wavelet transform Lifting structure iv

1 1 2 4 2.1............................. 4 2.2.............................. 8 2.3 1 9/7.................... 12 3 2 16 3.1 2 5/3............. 16 3.2 2 5/3 2 9/7...................................... 19 4 2 9/7 21 4.1 2 9/7................. 21 4.2.......................... 24 5 26 5.1..................... 26 5.2 SN........................... 27 6 30 31 32 A 33 v

2.1 JPEG2000.............. 5 2.2 JPEG2000.............. 6 2.3 ( 2 ).................... 7 2.4 ( 2 ).................... 7 2.5 JPEG2000...... 9 2.6 1 5/3 (z )................ 9 2.7 1 5/3 (z )................ 11 2.8 1 9/7 ( ).................... 13 2.9 1 5/3 ( ).................... 14 3.1 2 5/3 HH............. 17 3.2 2 5/3................. 19 3.3 5/3 (HL).................... 20 3.4 9/7 (HL).................... 20 4.1 2 9/7 (1 )............ 23 4.2 2 9/7 ( )............. 24 A.1 1:Aerial............................... 33 A.2 2:Airplane.............................. 33 A.3 3:Girl................................ 34 A.4 4:Mandrill.............................. 34 A.5 5:Pepper............................... 34 vi

2.1 JPEG2000 5/3.......... 11 2.2 JPEG2000 9/7.......... 15 5.1 2 9/7 (HPF ).............. 27 5.2 SN.......................... 28 vii

1 JPEG JPEG2000 [1] LSI X-Y 1 X Y 2 X-Y 1 2 LSI 1 2 1 2 1

2 2 JPEG2000 5/3 2 2 5/3 [2] 9/7 2 9/7 [3] 9/7 2 5/3 2 9/7 1 9/7 1 7 7 2 5/3 2 9/7 X-Y 9/7 N X M Y 32N M 4 10N M 1.67 5/3 2 9/7 1 9/7 2 2 [2] 5/3 1 9/7 2 3 3 2 9/7 2 5/3 2 9/7 37.5% 55% X-Y 9/7 2

150% 92% 2 3 2 5/3 2 5/3 2 9/7 4 1 9/7 2 9/7 5 4 2 9/7 6 3

2 2.1 [4] 2 0 JPEG MPEG DC [1] JPEG2000 JPEG2000 2.1 4

2.1 2.1 JPEG2000 2.1 H 0 (z) HPF H 1 (z) LPF X(z) ( R0 (z) =H 0 (z)x(z) R 1 (z) =H 1 (z)x(z) (2.1) R 0 (z) R 1 (z) 1/2 S 0 (z) S 1 (z) ( S0 (z) ={H 0 (z 1/2 )X(z 1/2 )+H 0 ( z 1/2 )X( z 1/2 )}/2 S 1 (z) ={H 1 (z 1/2 )X(z 1/2 )+H 1 ( z 1/2 )X( z 1/2 )}/2 (2.2) 2.2 S 0 (z) S 1 (z) 5

2.1 2.2 JPEG2000 T 0 (z) T 1 (z) ( T0 (z) ={H 0 (z)x(z)+h 0 ( z)x( z)}/2 T 1 (z) ={H 1 (z)x(z)+h 1 ( z)x( z)}/2 (2.3) T 0 (z) T 1 (z) G 0 (z) G 1 (z) Y (z) Y (z) =T 0 (z)g 0 (z) T 1 (z)g 1 (z) =[{H 0 (z)g 0 (z) H 1 (z)g 1 (z)}x(z) +{H 0 ( z)g 0 (z) H 1 ( z)g 1 (z)}x( z)]/2 (2.4) (2.2) (2.3) (2.4) X( z) (2.5) ( G0 (z) =H 1 ( z) G 1 (z) =H 0 ( z) (2.5) 6

2.1 2.3 ( 2 ) 2.4 ( 2 ) JPEG2000 R 1 (z) JPEG2000 0 1 1 7

2.2 DCT 2.3 2.1 2.2 2.4 2.3 2.2 [5] 2 2.5(a) 2.5(b) 2.5 (a) (b) (a) (b) 1 2.5 1 5/3 (a) 2 (b) 2 1 9/7 1 9/7 2.1 8

2.2 2.5 JPEG2000 2.6 1 5/3 (z ) 2.2 2.5 (a) z 2.5 (a) z 2.6 2.6 X(z) A(z) B(z) X(z) 1/2 H(z) L(z) 9

2.2 2.6 A(z) B(z) A(z) = 1 2 {X(z 1 2 )+X( z 1 2 )} (2.6) B(z) = 1 2 {z 1 2 X(z 1 2 ) z 1 2 X( z 1 2 )} (2.7) 2.6 α β H(z) =α(1 + z 1 ) (2.8) L(z) =β(1 + z 1 ) (2.9) 1 5/3 1 5/3 H(z)X(z) H(z)X(z) =B(z)+α(1 + z 1 )A(z) (2.10) A(z) B(z) (2.6) (2.7) (2.10) H(z)X(z) = 1 2 {(α + z 1 2 + αz 1 )X(z 1 2 ) +(α z 1 2 + αz 1 )X( z 1 2 )} (2.11) (2.11) (α + z 1 + αz 2 )X(z) 1/2 (2.11) β H(z) =α + z 1 2 + αz 1 (2.12) L(z) =βh(z)+z 1 + βz 1 H(z) (2.13) L(z) L(z) =β{(α + z 1 2 + αz 1 )+z 1 (α + z 1 2 + αz 1 )} + z 1 = αβ + βz 1 2 +(2αβ +1)z 1 + βz 3 2 + αβz 2 (2.14) 10

2.2 2.7 1 5/3 (z ) 2.1 JPEG2000 5/3 α β 1 2 1 4 2.1 α β JPEG2000 1 5/3 1 5/3 2.5 (b) 2.5 (b) z 2.7 2.6 HX(z) 2.5 (a) LX(z) H r (z) L r (z) Y (z) 2.5 (b) HX(z) LX(z) 2 2.5 (b) 11

2.3 1 9/7 (a) L r (z) = β + z 1 βz 1 (2.15) H r (z) = αl r (z)+z 3 2 αz 1 L r (z) (2.16) (2.12) (2.16) X(z) Y (z) 1 5/3 (2.13) (2.15) 2 JPEG2000 5/3 2.5 (a) (b) 3 2.5 (a) (b) 1 1 5/3 2.1 2.2 3 5 2.3 1 9/7 1 5/3 1 5/3 JPEG2000 9/7 1 9/7 1 5/3 2 2.8 9/7 2.9 5/3 2 2.8 (a1) (a2) 2.9 (a) (a) (2.12) (2.13) (a1) 1 9/7 1 12

2.3 1 9/7 2.8 1 9/7 ( ) (a2) (a1) 7 9 (a1) (a1) H 1 (z) α L 1 (z) β (a2) H 2 (z) γ L 2 (z) δ H 1 (z) =α + z 1 2 + αz 1 (2.17) L 1 (z) =βh 1 (z)+z 1 + βz 1 H 1 (z) (2.18) H 2 (z) =γz 1 L 1 (z)+z 3 2 H1 (z)+γz 2 L 1 (z) (2.19) L 2 (z) =δz 1 H 2 (z)+z 2 L 1 (z)+δz 2 H 2 (z) (2.20) (2.17) (2.19) (2.18) (2.20) z 1 2.8 (a1) (a2) 13

2.3 1 9/7 2.9 1 5/3 ( ) 1 9/7 1 5/3 L 1r (z) = δ + z 1 δz 1 (2.21) H 1r (z) = γl 1r (z)+z 3 2 γz 1 L 1r (z) (2.22) L 2r (z) = βz 1 H 1r (z)+z 2 L 1r (z) βz 2 H 1r (z) (2.23) H 2r (z) = αz 1 L 2r + z 5 2 H1r (z) αz 2 L 2r (z) (2.24) JPEG2000 9/7 k k k k k (2.17) (2.24) JPEG2000 9/7 k 1 9/7 14

2.3 1 9/7 2.2 JPEG2000 9/7 α 1.586034342059924 β 0.052980118572961 γ 0.882911075530934 δ 0.443506852043971 k 1.230174104914001 1 9/7 (2.17) (2.18) 9/7 JPEG2000 5/3 9/7 15

3 2 3.1 2 5/3 1 2 X Y X Y X Y X Y 4 2.2 2 X Y X Y X Y X Y X-Y z X z Y F (z,z ) 2 F (z) 1 F (z,z )=F(z )F (z ) X Y 1 2 X Y 2 HH(z,z ) 16

3.1 2 5/3 3.1 2 5/3 HH HH(z,z )=H(z )H(z ) =(α + z 1 2 =(α 2 + αz 1 2 + αz 1 )(α + z 1 2 + α 2 z 1 ) +(αz 1 2 + z 1 2 z 1 2 +(α 2 z 1 + 1 αz 1 z 2 + αz 1 2 + αz 1 ) z 1 ) + α 2 z 1 z 1 ) (3.1) X Y α X Y α 2 3.1 3 3 X Y 2 HL(z,z ) HL(z,z )=H(z )L(z ) =(α + z 1 2 =(α + z 1 2 + αz 1 ){αβ + βz 1 2 + αz 1 )[β{(α + z 1 2 +(2αβ +1)z 1 + βz 3 2 + αz 1 )+z 1 (α + z 1 2 + αβz 2 } + αz 1 )} + z 1 ] = βhh(z,z )+βz 1 HH(z,z )+z 1 H(z ) (3.2) (3.2) (3.1) Y HH(z,z ) β X 17

3.1 2 5/3 X Y 2 LH(z,z ) (3.2) X Y LH(z,z )=βhh(z,z )+βz 1 HH(z,z )+z 1 H(z ) (3.3) (3.3) (3.2) (3.1) X HH(z,z ) β Y X Y 2 LL(z,z ) LL(z,z )=L(z )L(z ) = {αβ + βz 1 2 {αβ + βz 1 2 =[β{(α + z 1 2 [β{(α + z 1 2 = β 2 {HH(z,z )+z 1 +β{z 1 +(2αβ +1)z 1 + βz 3 2 +(2αβ +1)z 1 + βz 3 2 + αz 1 )+z 1 (α + z 1 2 H(z )+z 1 + αz 1 )+z 1 (α + 1 z 2 HH(z,z )+z 1 H(z )+z 1 z 1 + αβz 2 } + αβz 2 } + αz 1 )} + z 1 ] + αz 1 )} + z 1 ] HH(z,z )+z 1 z 1 HH(z,z )} H(z )+z 1 z 1 H(z )} + z 1 z 1 (3.4) (3.4) (3.1) (3.2) (3.3) β 2 β HL(z,z ) z 1 LH(z,z ) z 1 (3.4) LL(z,z )=β{hl(z,z )+z 1 HL(z,z )+LH(z,z )+z 1 LH(z,z )} β 2 {HH(z,z )+z 1 +z 1 z 1 HH(z,z )+z 1 HH(z,z )+z 1 z 1 HH(z,z )} (3.5) (3.1) (3.2) (3.3) (3.5) z 1 z 1 2 18

3.2 2 5/3 2 9/7 3.2 2 5/3 z 1 z 1 2 3.2 4 α 2.2 2.1 β 2.1 1 5/3 [2] 1 5/3 2 5/3 3.2 2 5/3 2 9/7 2 5/3 3 7 2 9/7 [3] 2 5/3 19

3.2 2 5/3 2 9/7 3.3 5/3 (HL) 3.4 9/7 (HL) 3.2 HL 3.3 3.4 3.3 3.4 2 2 5/3 2 9/7 1 N X M Y 10N M 32N M 1 9/7 6N M 8N M 4 1.67 20

4 2 9/7 4.1 2 9/7 2 2.3 1 9/7 1 5/3 2 9/7 1 5/3 2 5/3 1 9/7 2 9/7 3.1 X-Y z X z Y F (z,z ) 2 F (z) 1 F (z,z )=F(z )F (z ) X Y 1 2 3.1 1 2 (3.4) 3.1 (3.4) (3.2) (3.3) 1 9/7 2 9/7 3.1 3.2 2 2.3 2.8 21

4.1 2 9/7 (a1) 2 3.1 (3.1) (3.4) (3.1) (3.1) (4.1) HH(z,z )=(α 2 + αz 1 2 + α 2 z 1 ) +(αz 1 2 + z 1 2 z 1 2 +(α 2 z 1 + 1 αz 1 z 2 + αz 1 2 z 1 ) + α 2 z 1 z 1 ) (4.1) (3.2) (3.3) (3.4) (3.2) (3.3) (3.2) HL 1 (z,z ) (3.3) LH 1 (z,z ) HL 1 (z,z )=z 1 H(z ) (4.2) LH 1 (z,z )=z 1 H(z ) (4.3) 3.1 (3.4) (4.1) (4.2) (4.3) β (4.1) (4.2) (4.3) (3.4) (3.4) (4.4) LL(z,z )=β 2 {HH(z,z )+z 1 +β{z 1 H(z )+z 1 HH(z,z )+z 1 H(z )+z 1 z 1 HH(z,z )+z 1 z 1 HH(z,z )} H(z )+z 1 z 1 H(z )} + z 1 z 1 (4.4) (4.1) (4.4) 2 2.3 2.8 (a1) X Y X Y 22

4.1 2 9/7 4.1 2 9/7 (1 ) 3.1 (3.2) (3.3) X Y X Y (3.2) (4.2) (3.3) (4.3) (4.2) HL 2 (z) (4.3) LH 2 (z) HL 2 (z) =HL 1 (z)+β{hh(z,z )+z 1 HH(z,z )} (4.5) LH 2 (z) =LH 1 (z)+β{hh(z,z )+z 1 HH(z,z )} (4.6) (4.1) (4.6) z 1 z 1 2 z 1 z 1 2 4 4.1 2 2.2 (2.17) (2.20) (2.19) (2.20) (2.17) (2.18) 1 (2.17) (2.18) (2.19) (2.20) (2.17) (2.18) (2.19) (2.20) (4.4) (4.6) 1 9/7 1 23

4.2 4.2 2 9/7 ( ) 2 X Y k 2 1/k 2 k 1/k 1 2 9/7 4.2 4.2 2 9/7 3.2 2 5/3 α β 4.2 1 2 4.2 3.2 3.2 HH HL LH HL LH LL 2 4.2 HH HL 1 LH 1 24

4.2 LL HL 2 LH 2 1 CPU 4.2 1 2 9/7 2 9/7 2 9/7 JPEG2000 part2 25

5 5.1 2 9/7 4.1 4.2 1 4.1 4.1 4.1 N X M Y HH 2 5.1 2 9/7 4.2 4 12N M 5N M 2 9/7 4.2 1 9/7 X Y 2 X Y X Y X Y 2 1 2 9/7 2 2 0.5N M 26

5.2 SN 5.1 2 9/7 (HPF ) HH (1 + 1/2+1/2)N M (1/4+1/4+1/4)N M HL 1 1/2N M 1/4N M LH 1 1/2N M 1/4N M 3N M 5/4N M 2 9/7 12N M 5.5N M 1 9/7 2 ( 8N M 6N M) 1.5 8% 2 9/7 LSI 2 5.2 SN 2 9/7 JPEG2000 part1 LSI LSI bit 16bit 64bit SN 5.2 A 27

5.2 SN 5.2 SN SN (1) [db] SN (2) [db] Aerial 66.5723 74.4050 Airplane 67.4732 74.4050 Girl 67.2905 74.6963 Mandrill 67.6271 72.1978 Pepper 67.3687 73.3895 256piel 256piel 1 1 16bit X-Y 9/7 64bit 8bit 64bit 128 64bit 64bit S 0 X-Y 9/7 S 16bit S 00 S S 0 N S S 00 N 0 SN (1) 10log 10 (S 2 /N 2 ) 28

5.2 SN SN (2) 10log 10 (S 2 /N 02 ) 5 SN 67 [db] 64bit 11bit SN (2) X-Y 16bit 7[dB] 2 16bit 1 29

6 LSI 2 [2] 2 5/3 2 9/7 1 N X M Y 32N M 10N M X-Y 9/7 4 1.67 1 9/7 2 9/7 12N M 5.5N M X-Y 9/7 50% 8% 1 2 LSI 16bit 64bit 1 2 S N 67 [db] SN ALU SN 2 30

4 31

[1] JPEG2000 2003 [2] 20 11 2005 [3] Akihiro CHIBA Hiroshi SUZUKI and Takao NISHITANI Consideration on the Direct Two-dimensional Wavelet Transform (SJ- CIEE) 9 2005 [4] 1999 [5] Ingrid DAUBECHIES and Wim SWELDENS FACTORING WAVELET TRANSFORMS INTO LIFTING STEPS Journal of Fourier Analsis vol.4 Nr.3 pp.247 269, 1998. 32

A A.1 1:Aerial A.2 2:Airplane 33

A.3 3:Girl A.4 4:Mandrill A.5 5:Pepper 34