def Synthesize(self):
plot = 0;
plt.gray()
osc_1_l = [self.osc_1[0][0], self.osc_1[1][0], self.osc_1[2][0], self.osc_1[3][0], self.osc_1[4][0], self.osc_1[5][0], self.osc_1[6][0], self.osc_1[7][0]]
osc_1_r = [self.osc_1[0][1], self.osc_1[1][1], self.osc_1[2][1], self.osc_1[3][1], self.osc_1[4][1], self.osc_1[5][1], self.osc_1[6][1], self.osc_1[7][1]]
osc_2_l = [self.osc_2[0][0], self.osc_2[1][0], self.osc_2[2][0], self.osc_2[3][0], self.osc_2[4][0], self.osc_2[5][0], self.osc_2[6][0], self.osc_2[7][0]]
osc_2_r = [self.osc_2[0][1], self.osc_2[1][1], self.osc_2[2][1], self.osc_2[3][1], self.osc_2[4][1], self.osc_2[5][1], self.osc_2[6][1], self.osc_2[7][1]]
if self.Tom_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i] = osc_1_l[i]*self.TomL
for i in range(len(osc_1_r)):
osc_1_r[i] = osc_1_r[i]*self.TomR
print("success Tom Cruise enabled!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('Tom Cruise Left Channel')
if self.Drake_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i] = osc_1_l[i]*self.DrakeL
for i in range(len(osc_1_r)):
osc_1_r[i] = osc_1_r[i]*self.DrakeR
print("success Drake enabled!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('Drake Left Channel')
"""filter bank"""
if self.LFO1_stat:
LFO1 = LFO(self.LFO1_rate)
for i in range(len(osc_1_l)):
osc_1_l[i] = np.multiply(LFO1.map_lfo[0], osc_1_l[i])
for i in range(len(osc_1_r)):
osc_1_r[i] = np.multiply(LFO1.map_lfo[1], osc_1_r[i])
print("success LFO enabled!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('LFO on Left Channel')
if self.W_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i], osc_1_r[i] = Filters.wavelet_filter(osc_1_l[i], osc_1_r[i], self.W_Type);
print("success Wavelet filtered!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('Wavelet on Left Channel')
if self.Gab_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i], osc_1_r[i] = Filters.gabor_filter(osc_1_l[i], osc_1_r[i], self.Gab_Deg);
print("success Gabor filtered!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
gab_im = self.osc_1[0][0]-osc_1_l[0]
plt.imshow(osc_1_l[0])
plt.title('Gabor on Left Channel')
if self.JPEG_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i], osc_1_r[i] = Filters.jpeg_decompose(osc_1_l[i], osc_1_r[i], 100);
print("success JPEG decomposed!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('JPEG on Left Channel')
if self.Bilateral_Stat:
for i in range(len(osc_1_l)):
osc_1_l[i], osc_1_r[i] = Filters.bilateral_filter(osc_1_l[i], osc_1_r[i], 3, 25, 25);
print("success Bilaterial filtered!")
plot += 1;
plt.figure(plot)
plt.subplot(1,2,1)
plt.imshow(self.osc_1[0][0])
plt.title('Orignal Left Channel')
plt.subplot(1,2,2)
plt.imshow(osc_1_l[0])
plt.title('Denoise/Smoothing on Left Channel')
plt.show()
"""recombine"""
self.osc_1 = [[osc_1_l[0], osc_1_r[0]], [osc_1_l[1], osc_1_r[1]],[osc_1_l[2], osc_1_r[2]],[osc_1_l[3], osc_1_r[3]],[osc_1_l[4], osc_1_r[4]],[osc_1_l[5], osc_1_r[5]], [osc_1_l[6], osc_1_r[6]], [osc_1_l[7], osc_1_r[7]]]
return self.osc_1
