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test_bnf.py
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test_bnf.py
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from matplotlib import pyplot as plt
import numpy as np
import csv
# from model.dpc import DPC
# from model.blc import BLC
# from model.aaf import AAF
# from model.awb import WBGC
# from model.cnf import CNF
# from model.cfa import CFA
# from model.gac import GC
# from model.ccm import CCM
from model.csc import CSC
from model.bnf import BNF
# from model.eeh import EE
# from model.fcs import FCS
# from model.bcc import BCC
# from model.hsc import HSC
from model.nlm import NLM
raw_path = './raw/test.RAW'
# decomment for testing
# config_path = './config/config.csv'
config_path = './config/config_test.csv' # shrink the size of raw img for accelerating test result.
f = open(config_path, 'r', encoding='utf-8-sig')
with f:
reader = csv.reader(f, delimiter=',')
raw_h = 128 #for testing, original:1280
raw_w = 72 #for testing, original:720
dpc_thres = 30
dpc_mode = 'gradient'
dpc_clip = 1023
bl_r = 0
bl_gr = 0
bl_gb = 0
bl_b = 0
alpha = 0
beta = 0
blc_clip = 1023
bayer_pattern = 'rggb'
r_gain = 1.5
gr_gain = 1.0
gb_gain = 1.0
b_gain = 1.1
awb_clip = 1023
cfa_mode = 'malvar'
cfa_clip = 1023
ccm = np.zeros((3, 4))
csc = np.zeros((3, 4))
bnf_dw = np.zeros((5,5))
bnf_rw = [1, 1, 1, 1]
bnf_rthres = [32, 64, 128]
bnf_clip = 255
edge_filter = np.zeros((3, 5))
ee_gain = [32, 128]
ee_thres = [32, 64]
ee_emclip = [-64, 64]
fcs_edge = [32, 64]
fcs_gain = 32
fcs_intercept = 2
fcs_slope = 3
hue = 128
saturation = 256
hsc_clip = 255
brightness = 10 # [-255, 255]
contrast = 10 / pow(2, 5) # [-32,128]
bcc_clip = 255
nlm_h = 10
nlm_clip = 255
for row in reader:
parameter = row[0]
value = row[1]
description = row[2]
print(parameter, value, description)
if 'raw' in str(parameter):
raw_w = int(value) if '_w' in str(parameter) else raw_w
raw_h = int(value) if '_h' in str(parameter) else raw_h
# elif 'dpc' in str(parameter):
# dpc_thres = int(value) if '_thres' in str(parameter) else dpc_thres
# dpc_mode = str(value) if '_mode' in str(parameter) else dpc_mode
# dpc_clip = int(value) if '_clip' in str(parameter) else dpc_clip
# elif 'bl' in str(parameter):
# bl_r = int(value) if '_r' in str(parameter) else bl_r
# bl_gr = int(value) if '_gr' in str(parameter) else bl_gr
# bl_gb = int(value) if '_gb' in str(parameter) else bl_gb
# bl_b = int(value) if '_b' in str(parameter) else bl_b
# alpha = int(value) if '_alpha' in str(parameter) else alpha
# beta = int(value) if '_beta' in str(parameter) else beta
# blc_clip = int(value) if '_clip' in str(parameter) else beta
# elif 'bayer_pattern' in str(parameter):
# bayer_pattern = str(value)
# elif 'awb' in str(parameter):
# r_gain = int(value) if '_rgain' in str(parameter) else r_gain
# gr_gain = int(value) if '_grgain' in str(parameter) else gr_gain
# gb_gain = int(value) if '_gbgain' in str(parameter) else gb_gain
# b_gain = int(value) if '_bgain' in str(parameter) else b_gain
# awb_clip = int(value) if '_clip' in str(parameter) else awb_clip
# elif 'cfa' in str(parameter):
# cfa_mode = str(value) if '_mode' in str(parameter) else cfa_mode
# cfa_clip = int(value) if '_clip' in str(parameter) else cfa_clip
# elif 'ccm' in str(parameter):
# ccm[0][0] = int(value) if '_00' in str(parameter) else ccm[0][0]
# ccm[0][1] = int(value) if '_01' in str(parameter) else ccm[0][1]
# ccm[0][2] = int(value) if '_02' in str(parameter) else ccm[0][2]
# ccm[0][3] = int(value) if '_03' in str(parameter) else ccm[0][3]
# ccm[1][0] = int(value) if '_10' in str(parameter) else ccm[1][0]
# ccm[1][1] = int(value) if '_11' in str(parameter) else ccm[1][1]
# ccm[1][2] = int(value) if '_12' in str(parameter) else ccm[1][2]
# ccm[1][3] = int(value) if '_13' in str(parameter) else ccm[1][3]
# ccm[2][0] = int(value) if '_20' in str(parameter) else ccm[2][0]
# ccm[2][1] = int(value) if '_21' in str(parameter) else ccm[2][1]
# ccm[2][2] = int(value) if '_22' in str(parameter) else ccm[2][2]
# ccm[2][3] = int(value) if '_23' in str(parameter) else ccm[2][3]
# elif 'csc' in str(parameter):
# csc[0][0] = 1024 * float(value) if '_00' in str(parameter) else csc[0][0]
# csc[0][1] = 1024 * float(value) if '_01' in str(parameter) else csc[0][1]
# csc[0][2] = 1024 * float(value) if '_02' in str(parameter) else csc[0][2]
# csc[0][3] = 1024 * float(value) if '_03' in str(parameter) else csc[0][3]
# csc[1][0] = 1024 * float(value) if '_10' in str(parameter) else csc[1][0]
# csc[1][1] = 1024 * float(value) if '_11' in str(parameter) else csc[1][1]
# csc[1][2] = 1024 * float(value) if '_12' in str(parameter) else csc[1][2]
# csc[1][3] = 1024 * float(value) if '_13' in str(parameter) else csc[1][3]
# csc[2][0] = 1024 * float(value) if '_20' in str(parameter) else csc[2][0]
# csc[2][1] = 1024 * float(value) if '_21' in str(parameter) else csc[2][1]
# csc[2][2] = 1024 * float(value) if '_22' in str(parameter) else csc[2][2]
# csc[2][3] = 1024 * float(value) if '_23' in str(parameter) else csc[2][3]
elif 'bnf' in str(parameter):
bnf_dw[0][0] = int(value) if '_dw_00' in str(parameter) else bnf_dw[0][0]
bnf_dw[0][1] = int(value) if '_dw_01' in str(parameter) else bnf_dw[0][1]
bnf_dw[0][2] = int(value) if '_dw_02' in str(parameter) else bnf_dw[0][2]
bnf_dw[0][3] = int(value) if '_dw_03' in str(parameter) else bnf_dw[0][3]
bnf_dw[0][4] = int(value) if '_dw_04' in str(parameter) else bnf_dw[0][4]
bnf_dw[1][0] = int(value) if '_dw_10' in str(parameter) else bnf_dw[1][0]
bnf_dw[1][1] = int(value) if '_dw_11' in str(parameter) else bnf_dw[1][1]
bnf_dw[1][2] = int(value) if '_dw_12' in str(parameter) else bnf_dw[1][2]
bnf_dw[1][3] = int(value) if '_dw_13' in str(parameter) else bnf_dw[1][3]
bnf_dw[1][4] = int(value) if '_dw_14' in str(parameter) else bnf_dw[1][4]
bnf_dw[2][0] = int(value) if '_dw_20' in str(parameter) else bnf_dw[2][0]
bnf_dw[2][1] = int(value) if '_dw_21' in str(parameter) else bnf_dw[2][1]
bnf_dw[2][2] = int(value) if '_dw_22' in str(parameter) else bnf_dw[2][2]
bnf_dw[2][3] = int(value) if '_dw_23' in str(parameter) else bnf_dw[2][3]
bnf_dw[2][4] = int(value) if '_dw_24' in str(parameter) else bnf_dw[2][4]
bnf_rw[0] = int(value) if '_rw_0' in str(parameter) else bnf_rw[0]
bnf_rw[1] = int(value) if '_rw_1' in str(parameter) else bnf_rw[1]
bnf_rw[2] = int(value) if '_rw_2' in str(parameter) else bnf_rw[2]
bnf_rw[3] = int(value) if '_rw_3' in str(parameter) else bnf_rw[3]
bnf_rthres[0] = int(value) if '_rthres_0' in str(parameter) else bnf_rthres[0]
bnf_rthres[1] = int(value) if '_rthres_1' in str(parameter) else bnf_rthres[1]
bnf_rthres[2] = int(value) if '_rthres_2' in str(parameter) else bnf_rthres[2]
bnf_clip = int(value) if '_clip' in str(parameter) else bnf_clip
# elif 'edge_filter' in str(parameter):
# edge_filter[0][0] = int(value) if '_00' in str(parameter) else edge_filter[0][0]
# edge_filter[0][1] = int(value) if '_01' in str(parameter) else edge_filter[0][1]
# edge_filter[0][2] = int(value) if '_02' in str(parameter) else edge_filter[0][2]
# edge_filter[0][3] = int(value) if '_03' in str(parameter) else edge_filter[0][3]
# edge_filter[0][4] = int(value) if '_04' in str(parameter) else edge_filter[0][4]
# edge_filter[1][0] = int(value) if '_10' in str(parameter) else edge_filter[1][0]
# edge_filter[1][1] = int(value) if '_11' in str(parameter) else edge_filter[1][1]
# edge_filter[1][2] = int(value) if '_12' in str(parameter) else edge_filter[1][2]
# edge_filter[1][3] = int(value) if '_13' in str(parameter) else edge_filter[1][3]
# edge_filter[1][4] = int(value) if '_14' in str(parameter) else edge_filter[1][4]
# edge_filter[2][0] = int(value) if '_20' in str(parameter) else edge_filter[2][0]
# edge_filter[2][1] = int(value) if '_21' in str(parameter) else edge_filter[2][1]
# edge_filter[2][2] = int(value) if '_22' in str(parameter) else edge_filter[2][2]
# edge_filter[2][3] = int(value) if '_23' in str(parameter) else edge_filter[2][3]
# edge_filter[2][4] = int(value) if '_24' in str(parameter) else edge_filter[2][4]
# elif 'ee' in str(parameter):
# ee_gain[0] = int(value) if 'gain_min' in str(parameter) else ee_gain[0]
# ee_gain[1] = int(value) if 'gain_max' in str(parameter) else ee_gain[1]
# ee_thres[0] = int(value) if 'thres_min' in str(parameter) else ee_thres[0]
# ee_thres[1] = int(value) if 'thres_max' in str(parameter) else ee_thres[1]
# ee_emclip[0] = int(value) if 'emclip_min' in str(parameter) else ee_emclip[0]
# ee_emclip[1] = int(value) if 'emclip_max' in str(parameter) else ee_emclip[1]
# elif 'fcs' in str(parameter):
# fcs_edge[0] = int(value) if 'edge_min' in str(parameter) else fcs_edge[0]
# fcs_edge[1] = int(value) if 'edge_min' in str(parameter) else fcs_edge[1]
# fcs_gain = int(value) if '_gain' in str(parameter) else fcs_gain
# fcs_intercept = int(value) if '_intercept' in str(parameter) else fcs_intercept
# fcs_slope = int(value) if '_slope' in str(parameter) else fcs_slope
# elif 'nlm' in str(parameter):
# nlm_h = int(value) if '_h' in str(parameter) else nlm_h
# nlm_clip = int(value) if '_clip' in str(parameter) else nlm_clip
# else:
# hue = int(value) if 'hue' in str(parameter) else hue
# saturation = int(value) if 'saturation' in str(parameter) else saturation
# hsc_clip = int(value) if 'hsc_clip' in str(parameter) else hsc_clip
# brightness = int(value) if 'brightness' in str(parameter) else brightness
# contrast = int(value) if 'contrast' in str(parameter) else contrast
# bcc_clip = int(value) if 'bcc_clip' in str(parameter) else bcc_clip
rawimg = np.fromfile(raw_path, dtype='uint16', sep='')
print(rawimg.shape)
# rawimg = rawimg.reshape([raw_h, raw_w])
# for testing
rawimg = rawimg.reshape([raw_h*10, raw_w*10])
rawimg = rawimg[:raw_h,:raw_w]
print(50*'-' + '\nLoading RAW Image Done......')
#plt.imshow(rawimg, cmap='gray')
#plt.show()
# # dead pixel correction
# dpc = DPC(rawimg, dpc_thres, dpc_mode, dpc_clip)
# rawimg_dpc = dpc.execute()
# print(50*'-' + '\nDead Pixel Correction Done......')
# #plt.imshow(rawimg_dpc, cmap='gray')
# #plt.show()
# # black level compensation
# parameter = [bl_r, bl_gr, bl_gb, bl_b, alpha, beta]
# blc = BLC(rawimg_dpc, parameter, bayer_pattern, blc_clip)
# rawimg_blc = blc.execute()
# print(50*'-' + '\nBlack Level Compensation Done......')
# #plt.imshow(rawimg_blc, cmap='gray')
# #plt.show()
# # lens shading correction
# # anti-aliasing filter
# aaf = AAF(rawimg_blc)
# rawimg_aaf = aaf.execute()
# print(50*'-' + '\nAnti-aliasing Filtering Done......')
# #plt.imshow(rawimg_aaf, cmap='gray')
# #plt.show()
# #rawimg_diff = rawimg_blc - rawimg_aaf
# #plt.imshow(rawimg_diff, cmap='gray')
# #plt.show()
# # white balance gain control
# parameter = [r_gain, gr_gain, gb_gain, b_gain]
# awb = WBGC(rawimg_aaf, parameter, bayer_pattern, awb_clip)
# rawimg_awb = awb.execute()
# print(50*'-' + '\nWhite Balance Gain Done......')
# #plt.imshow(rawimg_awb, cmap='gray')
# #plt.show()
# # chroma noise filtering
# cnf = CNF(rawimg_awb, bayer_pattern, 0, parameter, 1023)
# rawimg_cnf = cnf.execute()
# print(50*'-' + '\nChroma Noise Filtering Done......')
# #plt.imshow(rawimg_cnf/4, cmap='gray')
# #plt.show()
# # color filter array interpolation
# cfa = CFA(rawimg_cnf, cfa_mode, bayer_pattern, cfa_clip)
# rgbimg_cfa = cfa.execute()
# print(50*'-' + '\nDemosaicing Done......')
# #plt.imshow(rgbimg_cfa/4)
# #plt.show()
# # color correction matrix
# ccm = CCM(rgbimg_cfa, ccm)
# rgbimg_ccm = ccm.execute()
# print(50*'-' + '\nColor Correction Done......')
# #plt.imshow(rgbimg_ccm)
# #plt.show()
# # gamma correction
# # look up table
# bw = 10
# gamma = 0.5
# mode = 'rgb'
# maxval = pow(2,bw)
# ind = range(0, maxval)
# val = [round(pow(float(i)/maxval, gamma) * maxval) for i in ind]
# lut = dict(zip(ind, val))
# #print(ind, val, lut)
# gc = GC(rgbimg_ccm, lut, mode)
# rgbimg_gc = gc.execute()
# print(50*'-' + '\nGamma Correction Done......')
# #plt.imshow(rgbimg_gc)
# #plt.show()
# # color space conversion
# csc = CSC(rgbimg_ccm, csc)
# yuvimg_csc = csc.execute()
# print(50*'-' + '\nColor Space Conversion Done......')
# plt.imshow(yuvimg_csc[:,:,0], cmap='gray')
# #plt.show()
# non-local means denoising
# nlm = NLM(yuvimg_csc[:,:,0], 1, 4, nlm_h, nlm_clip)
# yuvimg_nlm = nlm.execute()
# print(50*'-' + '\nNon Local Means Denoising Done......')
#plt.imshow(yuvimg_nlm, cmap='gray')
#plt.show()
# bilateral filter
# bnf = BNF(yuvimg_nlm, bnf_dw, bnf_rw, bnf_rthres, bnf_clip)
# change yuvimg_nlm to rawimg
bnf = BNF(rawimg, bnf_dw, bnf_rw, bnf_rthres, bnf_clip)
# yuvimg_bnf = bnf.execute()
# change yuvimg to rawimg
rawimg_bnf = bnf.execute()
print(50*'-' + '\nBilateral Filtering Done......')
#plt.imshow(yuvimg_bnf, cmap='gray')
#plt.show()
# # edge enhancement
# ee = EE(yuvimg_bnf[:,:], edge_filter, ee_gain, ee_thres, ee_emclip)
# yuvimg_ee, yuvimg_edgemap = ee.execute()
# print(50*'-' + '\nEdge Enhancement Done......')
# #plt.imshow(yuvimg_ee)
# #plt.show()
# #plt.imshow(yuvimg_edgemap)
# #plt.show()
# # false color suppresion
# fcs = FCS(yuvimg_csc[:,:,1:3], yuvimg_edgemap, fcs_edge, fcs_gain, fcs_intercept, fcs_slope)
# yuvimg_fcs = fcs.execute()
# print(50*'-' + '\nFalse Color Suppresion Done......')
# #plt.imshow(yuvimg_fcs)
# #plt.show()
# # hue/saturation control
# hsc = HSC(yuvimg_fcs, hue, saturation, hsc_clip)
# yuvimg_hsc = hsc.execute()
# print(50*'-' + '\nHue/Saturation Adjustment Done......')
# #plt.imshow(yuvimg_hsc)
# #plt.show()
# # brighyness/contrast control
# contrast = contrast / pow(2,5) #[-32,128]
# bcc = BCC(yuvimg_ee, brightness, contrast, bcc_clip)
# yuvimg_bcc = bcc.execute()
# print(50*'-' + '\nBrightness/Contrast Adjustment Done......')
# #plt.imshow(yuvimg_bcc)
# #plt.show()
# yuvimg_out = np.empty((raw_h, raw_w, 3), dtype=np.uint8)
# yuvimg_out[:,:,0] = yuvimg_bcc
# yuvimg_out[:,:,1:3] = yuvimg_hsc
# #plt.imshow(yuvimg_out)
# #plt.show()