Coverage for recovery/datasets/mallett2019.py: 0%

1""" 

2Mallett and Yuksel (2019) - Reflectance Recovery 

3================================================ 

4 

5Define the datasets for reflectance recovery using *Mallett and Yuksel 

6(2019)* method. 

7 

8References 

9---------- 

10- :cite:`Mallett2019` : Mallett, I., & Yuksel, C. (2019). Spectral Primary 

11 Decomposition for Rendering with sRGB Reflectance. Eurographics Symposium 

12 on Rendering - DL-Only and Industry Track, 7 pages. doi:10.2312/SR.20191216 

13""" 

14 

15from __future__ import annotations 

16 

17import typing 

18 

19import numpy as np 

20 

21from colour.colorimetry import MultiSpectralDistributions, SpectralShape 

22 

23if typing.TYPE_CHECKING: 

24 from colour.hints import NDArrayFloat 

25 

26__author__ = "Colour Developers" 

27__copyright__ = "Copyright 2013 Colour Developers" 

28__license__ = "BSD-3-Clause - https://opensource.org/licenses/BSD-3-Clause" 

29__maintainer__ = "Colour Developers" 

30__email__ = "colour-developers@colour-science.org" 

31__status__ = "Production" 

32 

33__all__ = [ 

34 "SPECTRAL_SHAPE_sRGB_MALLETT2019", 

35 "DATA_BASIS_FUNCTIONS_sRGB_MALLETT2019", 

36 "MSDS_BASIS_FUNCTIONS_sRGB_MALLETT2019", 

37] 

38 

39SPECTRAL_SHAPE_sRGB_MALLETT2019: SpectralShape = SpectralShape(380, 780, 5) 

40SPECTRAL_SHAPE_sRGB_MALLETT2019.__doc__ = """ 

41Shape for *Mallett and Yuksel (2019)* *sRGB* colourspace basis functions: 

42(380, 780, 5). 

43 

44References 

45---------- 

46:cite:`Mallett2019` 

47""" 

48 

49DATA_BASIS_FUNCTIONS_sRGB_MALLETT2019: NDArrayFloat = np.array( 

50 [ 

51 [0.32745741382705500, 0.33186171308587400, 0.34068079154805200], 

52 [0.32375057827054100, 0.32968818775939900, 0.34656118662485200], 

53 [0.31343946125157700, 0.32786002162469700, 0.35870049314035100], 

54 [0.28887938275526500, 0.31917358023175600, 0.39194702658819500], 

55 [0.23920568115888600, 0.29432258369484200, 0.46647173058733300], 

56 [0.18970203689053500, 0.25869706476873600, 0.55160089559860200], 

57 [0.12174606795921800, 0.18889431925476500, 0.68935961094892800], 

58 [0.07457827066946600, 0.12538838199168900, 0.80003334687860700], 

59 [0.04443315863403370, 0.07868706031062170, 0.87687978093531400], 

60 [0.02892863212850290, 0.05314327086594530, 0.91792809744395500], 

61 [0.02231665348475120, 0.04228814603134210, 0.93539520066963200], 

62 [0.01691130729263180, 0.03331834550291710, 0.94977034711518300], 

63 [0.01418110711796670, 0.02975594818597240, 0.95606294480524000], 

64 [0.01305314267748730, 0.03033125053690470, 0.95661560689031600], 

65 [0.01198616362784500, 0.03098857189730070, 0.95702526493132800], 

66 [0.01128871471240480, 0.03168635518883810, 0.95702493053471300], 

67 [0.01090606646565170, 0.03466996150299740, 0.95442397273706600], 

68 [0.01040071348100420, 0.03455195744367500, 0.95504732902020400], 

69 [0.01063736025414650, 0.04068480619482970, 0.94867783309333400], 

70 [0.01090766253377410, 0.05446003736940560, 0.93463229984232800], 

71 [0.01103271244809880, 0.08090528742047370, 0.90806199985226900], 

72 [0.01131065659122680, 0.14634830285704400, 0.84234103946372700], 

73 [0.01115464205694030, 0.37967964329661700, 0.60916571536564700], 

74 [0.01014877040621220, 0.76674426865403300, 0.22310696095953300], 

75 [0.00891858211883843, 0.87621474761337000, 0.11486667029133600], 

76 [0.00768557633847106, 0.91849165561384300, 0.07382276789574370], 

77 [0.00670570828469526, 0.94065556253443700, 0.05263872879105550], 

78 [0.00599580598764424, 0.95373188453302000, 0.04027230901688870], 

79 [0.00553725664234189, 0.96164327984023800, 0.03281946265095910], 

80 [0.00519378424120663, 0.96720001968507800, 0.02760619592704560], 

81 [0.00502536226522334, 0.97098974639004600, 0.02398489112703940], 

82 [0.00513636276967508, 0.97285230356355400, 0.02201133335279220], 

83 [0.00543320026053983, 0.97311659407644400, 0.02145020525599660], 

84 [0.00581998590243535, 0.97335106915414300, 0.02082894450956850], 

85 [0.00640057277462412, 0.97335111554436900, 0.02024831138880870], 

86 [0.00744952868340878, 0.97226107973172500, 0.02028939145120660], 

87 [0.00858363581937657, 0.97335102174691700, 0.01806534233591300], 

88 [0.01039576246516740, 0.97314849518569300, 0.01645574223446850], 

89 [0.01356543353864920, 0.97106130630091400, 0.01537326013409550], 

90 [0.01938451583997420, 0.96637130595518300, 0.01424417848455170], 

91 [0.03208407120200240, 0.95494196750254800, 0.01297396155433470], 

92 [0.07435603784594110, 0.91357898955126100, 0.01206497413452180], 

93 [0.62439372417807500, 0.36434880390768700, 0.01125747816039010], 

94 [0.91831003276872000, 0.07150724254088510, 0.01018272467169420], 

95 [0.94925303017505100, 0.04123043447137510, 0.00951653538723741], 

96 [0.95818783332924600, 0.03242387418366850, 0.00938829272866817], 

97 [0.95818775133269800, 0.03192462979820030, 0.00988761909067028], 

98 [0.95818762508778200, 0.03127603317309690, 0.01053634200645890], 

99 [0.95567906077174600, 0.03263037042905740, 0.01169056883744480], 

100 [0.95800615489342900, 0.02953087214907390, 0.01246297288710370], 

101 [0.95410157345656400, 0.03156176117024640, 0.01433666517742030], 

102 [0.94760760623723700, 0.03567421827082040, 0.01671817532754430], 

103 [0.93868132844754900, 0.04140300539556730, 0.01991566607500250], 

104 [0.92446668275143400, 0.05060426044895610, 0.02492905616328100], 

105 [0.90460602533305600, 0.06343430038170030, 0.03195967358604020], 

106 [0.88041219892793300, 0.07891824529392290, 0.04066955409524840], 

107 [0.84778787315170000, 0.09954274266537470, 0.05266938242193960], 

108 [0.80577912662301900, 0.12559576009328700, 0.06862511051419470], 

109 [0.75253185387142100, 0.15759091044168000, 0.08987723230001360], 

110 [0.68643939684457800, 0.19539823904421000, 0.11816235892643400], 

111 [0.61869457086061000, 0.23147447477217800, 0.14983094744213300], 

112 [0.54026444395911100, 0.26885213609526200, 0.19088340934183400], 

113 [0.47296441629383800, 0.29602916421792800, 0.23100640302521700], 

114 [0.43270159670404900, 0.30975499444194500, 0.25754338542220200], 

115 [0.40535804552839200, 0.31781588338382200, 0.27682603872153600], 

116 [0.38549183497490200, 0.32299034738989800, 0.29151777281079500], 

117 [0.37098358455106100, 0.32635384793800900, 0.30266250608323300], 

118 [0.35760870152308100, 0.32914390227898000, 0.31324730130288600], 

119 [0.34871280010839300, 0.33080872680368200, 0.32047832512463300], 

120 [0.34488011934469100, 0.33148268992224300, 0.32363699470796100], 

121 [0.34191787732329100, 0.33198455035238900, 0.32609730884690000], 

122 [0.33953109298712900, 0.33234117252254500, 0.32812736934018400], 

123 [0.33716950377436700, 0.33291200941553900, 0.32991797595888800], 

124 [0.33617201852771700, 0.33291927969521400, 0.33090790121664900], 

125 [0.33516744343336300, 0.33302767257885600, 0.33180363309599500], 

126 [0.33442162530646300, 0.33317970467326000, 0.33239662725536100], 

127 [0.33400876037640200, 0.33324703097454900, 0.33274078072682400], 

128 [0.33391579279008200, 0.33325934921060100, 0.33282085708148900], 

129 [0.33381845494636700, 0.33327505027938300, 0.33290173128344400], 

130 [0.33367277492845600, 0.33329432844873200, 0.33302596748863200], 

131 [0.33356951340559100, 0.33330942495777500, 0.33311108308149700], 

132 ] 

133) 

134 

135MSDS_BASIS_FUNCTIONS_sRGB_MALLETT2019: MultiSpectralDistributions = ( 

136 MultiSpectralDistributions( 

137 DATA_BASIS_FUNCTIONS_sRGB_MALLETT2019, 

138 SPECTRAL_SHAPE_sRGB_MALLETT2019.wavelengths, 

139 name="Basis Functions - sRGB - Mallett 2019", 

140 labels=("red", "green", "blue"), 

141 ) 

142) 

143""" 

144*Mallett and Yuksel (2019)* basis functions for the *sRGB* colourspace. 

145 

146References 

147---------- 

148:cite:`Mallett2019` 

149"""