$\lfloor v\rfloor$	the greatest integer less than or equal to v
∆ r variant	average bitrate change due to applying specific transform variant
c den	cost of denoising of a sample
cenc	cost of entropy coding of a single prediction error
cest	cost of estimating bitrate per single sample
c LS	cost of a single LS
c pred	cost of predicting a sample
f	number of filters
l	transform level
M	number of samples in the subband
MaxPE	the greatest prediction error obtained
MinPE	the smallest prediction error obtained
N	upper neighbor of the pixel being predicted
n	number of iterations of the step B of the heuristic
NW	upper-left neighbor of the pixel being predicted
P	size of the image (number of pixels)
p	number of predictors
pi	probability of occurrence of the prediction error value i in the subband
q	signal length
r DWT	average bitrate of unmodified JPEG 2000
S	discrete signal
$s_i$	i-th signal sample
$s_i^d$	denoised sample $s_i$
$T_{\mathrm{as}}^{\mathrm{NH}}$	cost of applying RDLSs while computing all subbands by NH
$T_{\mathrm{as}}^{\mathrm{RH}}$	cost of applying RDLSs while computing all subbands by RH
$T_{\mathrm{fs}}^{H0\text{\_}\mathrm{RH}}$	cost of applying prediction and entropy coding of final subbands by entropy estimation-based variant of RH
$T_{\mathrm{fs}}^{\mathrm{NH}}$	cost of applying prediction and entropy coding of final subbands by NH
$T_{\mathrm{fs}}^{\mathrm{RH}}$	cost of applying prediction and entropy coding of final subbands by RH
TJ	time of unmodified JPEG 2000 compression
W	left-hand neighbor of the pixel being predicted