撮 影
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- ありみち かつま
- 5 years ago
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11 DC
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14 cathode ray tube, 2.2
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16 log log log + log log
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20 A method determining tone conversion characteristics of digital still camera from two pictorial images
21 Tone conversion characteristic Luminance of Subject Optoelectronic conversion function Exposure to CCD Digital value Flare Tone conversion characteristic
22 Flare
23 Gradient of tone conversion characteristic 250 Digital value gradient Log exposure
24 Method of determining tone conversion characteristic g D H (1) d D log H = + C (2) g
25 Two images used in this study Image 1 Image 2
26 80,000 Histogram of Image 1 Frequency 60,000 40,000 20,000 Red Green Blue Digital value
27 Cumulative frequency Determining digital value pairs from cumulative frequency 3,000,000 2,000,000 1,000,000 D 1i 0 Image Image D 2i Digital value R
28 Calculated tone conversion characteristic and comparison to gray scale Digital value Flare is effective at lower luminance Log relative exposure, luminance
29
30 ( stimulus value) stimulus value) XYZ XYZ = = = = d ) ( ) ( 100 d ) ( ) ( ) ( d ) ( ) ( ) ( d ) ( ) ( ) ( λ λ λ λ λ λ λ λ λ λ λ λ λ λ λ y P k z R P k Z y R P k Y x R P k X
31 X x = X + Y + Z Y y = X + Y + Z z = X + Z Y + Z Q z = 1 x y
32 xy diagram (spectrum locus) (purple boundary)
33 CIE CIE L*a* L*a** ,, * * 3 1 * = = = n n n n n n n n Z Z Y Y X X Z Z Y Y b Y Y X X a Y Y L
34 L*a**
35
36 Y,C,C R,G,B CD R,G, B C,M,Y,K R,G,B C,M,Y,K PC
37 CD Y,C,C R,G,B R,G,B C,M,Y,K R,G,B PC C,M,Y,K
38 LUT
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40
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42 drdgdb R,G,B L*,a*,b*
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46 d Y
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48 R,G,B R,G,BX,Y,Z X,Y,Z = B G R t t t t s s s s r r r r Z Y X r,s,t R,G,B X,Y,Z = BR GB RG B G R B G R t t t t t t t t t t s s s s s s s s s s r r r r r r r r r r Z Y X 1 2
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52 Excel Y Y Yn Yn > L* = 116 a* = b* = E* = [ f ( Y Yn) ] 16 [ f ( X Xn) f ( Y Yn) ] [ f ( Y Yn) f ( Z Zn) ] [( ) ( ) ( ) ] L* + a * + b* f f 1 3 ( Y Yn) = ( Y Yn) ( Y Yn) = 7.787( Y Yn) + ( ) f(x/xn)f(z/zn)
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54 Core-fringe model R = a R + a R + 1 c c f f ( ) a a R c f p
55 Spectral reflectance Results dots: experimental lines:calculated Wavelength [nm]
56 Results
57 LED D65 D65
58 63
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62 = θ
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68 Acutance ( D / x ) = i i n ( D D ) B A 2
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72 Aliasing OHP
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74 Nyquist frequency u N = 2 x [ ] mm 1 1 x : [mm]
75 Aliasing F(u) O u N u
76 LPF CCD LPF (Low pass filter)
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81 scan
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85 granularity RMS: Root Mean Square σ ( = Di n D ) Di D = n RMS m
86 Noise Wiener spectrum 2 W ( u) = f ( x) exp( 2πiux) dx
87 NWS
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89 G
90 σ = Σ( D i n 1 D ) 2 1 / 2 1 : 2 : D i, D, n,i
91 G D G D dm = NWS( u) MTF ( u) du v dd G D, NWS, u[cycle mm -1 ], D MTF v MTF, M Ref. R.P.Dooley and R.Shaw, J. Appl. Photogr. Eng., 5, 192 (1979)
92 G E G E [ { } ] 2 NWS( u) MTF ( ) 1/ 2 dl = u du v dd G D, NWS, u[cycle mm -1 ], D MTF v MTF, L Ref. P.G.Engeldrum and G.E.McNeill, J. Imag. Sci., 29, 207 (1985)
93 G G D E = NWS( u) MTF ( u) du [ { } ] 2 NWS( u) MTF ( ) 1/ 2 = u du v v
94
95 Random Periodic 1 1 Correlation coefficient σ1 σ2 GD GE Correlation coefficient log(σ1) log(σ2) log(gd) log(ge)
96 G D, G E Logarithm of G D Random Periodic Logarithm of G E Random Periodic Subjective evaluation values Subjective evaluation values G D G E
97 2
98 G E Logarithm of G E D 1-D Subjective evaluation value
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105 -
106 -
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108 L*,a*,b*
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110 (G,B,P,O,Y,) (K,C,M,Y,R,G,B)
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115 DDCP
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