Comparison of castleCSF with MLP

Fitting error

Dataset Fitting error Sensitivity adjustment
Muli-layer Perceptron Muli-layer Perceptron
Average training 4.83 ± 0.27 [dB] N/A
Average testing 5.83 ± 0.21 [dB] N/A
modelfest 3.15 [dB] 1.000
hdrvdp_csf 5.34 [dB] 1.000
rovamo1993 5.22 [dB] 1.000
laird2006 1.99 [dB] 1.000
snowden1995 3.93 [dB] 1.000
robson1966 0.70 [dB] 1.000
virsu1979 3.53 [dB] 1.000
virsu1982 0.75 [dB] 1.000
wright1983 0.36 [dB] 1.000
colorfest 4.51 [dB] 1.000
hdr_csf 5.02 [dB] 1.000
kim2013 7.70 [dB] 1.000
five_centres 6.12 [dB] 1.000
lucassen2018 4.58 [dB] 1.000
hdr_csf_disc 7.11 [dB] 1.000
kong2018 4.03 [dB] 1.000
vanderHorst1969_b 3.59 [dB] 1.000
hansen2009 2.39 [dB] 1.000

Model parameters

Muli-layer Perceptron

CSF model: Muli-layer Perceptron

L+M
L-M
S-(L+M)

Legend

To keep the plots legible, only up to 3 models are plotted.