def main():
# File handling
filename = raw_input("What is the filename? ")
if filename[-11:] != '.compressed':
raise TypeError("Requires a .compressed file from Compression.py!")
f = open(filename, 'rb')
data = pickle.load(f)
f.close()
# Additional prep
filename = filename[:-11]
tt = 0
quality = ord(data[0])
data = data[1:]
print "Seperating Blocks...",
t0 = time.clock()
R, G, B = Unpack_Blocks(data)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
print "De-Quantizing data...",
t0 = time.clock()
R_DQ = DeQuantize(R, quality)
G_DQ = DeQuantize(G, quality)
B_DQ = DeQuantize(B, quality)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
print "Undoing DCTs...",
t0 = time.clock()
R_DCTs = arraymap(Undo_DCT, R_DQ, dtype=int, esize=2)
G_DCTs = arraymap(Undo_DCT, G_DQ, dtype=int, esize=2)
B_DCTs = arraymap(Undo_DCT, B_DQ, dtype=int, esize=2)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
print "Merging 8x8 blocks...",
t0 = time.clock()
R_Merged, G_Merged, B_Merged = map(Merge_Blocks, (R_DCTs, G_DCTs, B_DCTs))
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
print "Rearranging Data...",
t0 = time.clock()
final_array = array([R_Merged, G_Merged, B_Merged]).swapaxes(0, 2)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
misc.imsave((filename + '.png'), final_array)
print "\nAll in all...",
print "everything took", tt, "seconds."
def main():
# File handling
filename = raw_input("What is the filename? ")
if filename[-11:] != '.compressed':
raise TypeError("Requires a .compressed file from Compression.py!")
f = open(filename,'rb')
data = pickle.load(f)
f.close()
# Additional prep
filename = filename[:-11]
tt = 0
quality = ord(data[0])
data = data[1:]
print "Seperating Blocks...",
t0 = time.clock()
R, G, B = Unpack_Blocks(data)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
print "De-Quantizing data...",
t0 = time.clock()
R_DQ = DeQuantize(R,quality)
G_DQ = DeQuantize(G,quality)
B_DQ = DeQuantize(B,quality)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
print "Undoing DCTs...",
t0 = time.clock()
R_DCTs = arraymap(Undo_DCT, R_DQ, dtype=int, esize=2)
G_DCTs = arraymap(Undo_DCT, G_DQ, dtype=int, esize=2)
B_DCTs = arraymap(Undo_DCT, B_DQ, dtype=int, esize=2)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
print "Merging 8x8 blocks...",
t0 = time.clock()
R_Merged, G_Merged, B_Merged = map(Merge_Blocks, (R_DCTs, G_DCTs, B_DCTs))
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
print "Rearranging Data...",
t0 = time.clock()
final_array = array([R_Merged, G_Merged, B_Merged]).swapaxes(0,2)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
misc.imsave((filename+'.png'),final_array)
print "\nAll in all...",
print "everything took",tt,"seconds."
def Write_To(Q, Red, Grn, Blu, write):
"""Given RGB and a file's write function, writes appropriate headers and
the contents of the array to the file."""
L, W = Red.shape
write(chr(Q))
write(chr(L))
write(chr(W))
arraymap(write,Red)
arraymap(write,Grn)
arraymap(write,Blu)
def Write_To(Q, Red, Grn, Blu, write):
"""Given RGB and a file's write function, writes appropriate headers and
the contents of the array to the file."""
L, W = Red.shape
write(chr(Q))
write(chr(L))
write(chr(W))
arraymap(write, Red)
arraymap(write, Grn)
arraymap(write, Blu)
def main():
print "What is the filename?"
print "Windows:"
print "winter.png"
print "bird.png"
print "Linux Mint:"
print "./winter-wallpaper-24.png"
print "./bird.png"
i = image.imread(raw_input(''))
if (i.shape[0] %8 != 0) or (i.shape[1] %8 != 0):
raise TypeError("Requires an image whose size is a multiple of 8x8!")
print "What level of image quality would you prefer?\nPlease select an integer 1-25,"
print "1 being the greatest image quality but least compressed."
q = int(raw_input(''))
tt = 0
print "Seperating Colors...",
t0 = time.clock()
Colors = Split_RGB(i)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
# 'Colors' should be a list of the Length*Width arrays for each color value
print "Splitting the image into 8x8 blocks...",
t0 = time.clock()
R_Blocks, G_Blocks, B_Blocks = map(Split_Blocks, Colors)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
# Each '_Blocks' variable should be an array of 8x8 matricies, each containing
# the respective R, G or B pixel data for that 8x8 portion of the image
print "Calculating DCTs...",
t0 = time.clock()
R_DCTs = arraymap(Calc_DCT, R_Blocks, dtype=int, esize=2)
G_DCTs = arraymap(Calc_DCT, G_Blocks, dtype=int, esize=2)
B_DCTs = arraymap(Calc_DCT, B_Blocks, dtype=int, esize=2)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
## print '\n Sample before DCT:'
## print R_Blocks[0,0]
## print '\n Sample after DCT:'
## print R_DCTs[0,0]
# Each '_DCTs' variable should be an array of the DCTs of said 8x8 matrices
print "Quantizing data...",
t0 = time.clock()
R_Quantized = Quantize(R_DCTs,q)
G_Quantized = Quantize(G_DCTs,q)
B_Quantized = Quantize(B_DCTs,q)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
## print 'R_Quantized\n',R_Quantized[0]
## print 'G_Quantized\n',G_Quantized[0]
## print 'B_Quantized\n',B_Quantized[0]
# Each '_Quantized' variable should be an array of lists of each DCT
# reorganized in a lossy, zigzag fashion
print "Applying Run Width Algorithm...",
t0 = time.clock()
R_RunW = arraymap(Run_Width, R_Quantized)
G_RunW = arraymap(Run_Width, G_Quantized)
B_RunW = arraymap(Run_Width, B_Quantized)
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
# Each '_Quantized' variable should be an array of Run_Width() strings
print "Saving to file...",
t0 = time.clock()
# Original
#f = open(str(time.time())+'.compressed','w')
#Write_To(R_RunW, G_RunW, B_RunW, f.write)
# Pickle the array
#f = open(str(time.time())+'.compressed','wb')
#pickle.dump((R_RunW, G_RunW, B_RunW), f)
# Pickle the string
O = appendablestring()
filename = str(int(time.time()*10))+'.compressed'
f = open(filename,'wb')
Write_To(q, R_RunW, G_RunW, B_RunW, O.append)
pickle.dump(O.gimmie(), f)
f.close()
t1 = time.clock()
tt += (t1-t0)
print "took",(t1-t0),"seconds."
print "\nAll in all...",
print "everything took",tt,"seconds."
print "Filename:",filename
def main():
print "What is the filename?"
print "Windows:"
print "winter.png"
print "bird.png"
print "Linux Mint:"
print "./winter-wallpaper-24.png"
print "./bird.png"
i = image.imread(raw_input(''))
if (i.shape[0] % 8 != 0) or (i.shape[1] % 8 != 0):
raise TypeError("Requires an image whose size is a multiple of 8x8!")
print "What level of image quality would you prefer?\nPlease select an integer 1-25,"
print "1 being the greatest image quality but least compressed."
q = int(raw_input(''))
tt = 0
print "Seperating Colors...",
t0 = time.clock()
Colors = Split_RGB(i)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
# 'Colors' should be a list of the Length*Width arrays for each color value
print "Splitting the image into 8x8 blocks...",
t0 = time.clock()
R_Blocks, G_Blocks, B_Blocks = map(Split_Blocks, Colors)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
# Each '_Blocks' variable should be an array of 8x8 matricies, each containing
# the respective R, G or B pixel data for that 8x8 portion of the image
print "Calculating DCTs...",
t0 = time.clock()
R_DCTs = arraymap(Calc_DCT, R_Blocks, dtype=int, esize=2)
G_DCTs = arraymap(Calc_DCT, G_Blocks, dtype=int, esize=2)
B_DCTs = arraymap(Calc_DCT, B_Blocks, dtype=int, esize=2)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
## print '\n Sample before DCT:'
## print R_Blocks[0,0]
## print '\n Sample after DCT:'
## print R_DCTs[0,0]
# Each '_DCTs' variable should be an array of the DCTs of said 8x8 matrices
print "Quantizing data...",
t0 = time.clock()
R_Quantized = Quantize(R_DCTs, q)
G_Quantized = Quantize(G_DCTs, q)
B_Quantized = Quantize(B_DCTs, q)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
## print 'R_Quantized\n',R_Quantized[0]
## print 'G_Quantized\n',G_Quantized[0]
## print 'B_Quantized\n',B_Quantized[0]
# Each '_Quantized' variable should be an array of lists of each DCT
# reorganized in a lossy, zigzag fashion
print "Applying Run Width Algorithm...",
t0 = time.clock()
R_RunW = arraymap(Run_Width, R_Quantized)
G_RunW = arraymap(Run_Width, G_Quantized)
B_RunW = arraymap(Run_Width, B_Quantized)
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
# Each '_Quantized' variable should be an array of Run_Width() strings
print "Saving to file...",
t0 = time.clock()
# Original
#f = open(str(time.time())+'.compressed','w')
#Write_To(R_RunW, G_RunW, B_RunW, f.write)
# Pickle the array
#f = open(str(time.time())+'.compressed','wb')
#pickle.dump((R_RunW, G_RunW, B_RunW), f)
# Pickle the string
O = appendablestring()
filename = str(int(time.time() * 10)) + '.compressed'
f = open(filename, 'wb')
Write_To(q, R_RunW, G_RunW, B_RunW, O.append)
pickle.dump(O.gimmie(), f)
f.close()
t1 = time.clock()
tt += (t1 - t0)
print "took", (t1 - t0), "seconds."
print "\nAll in all...",
print "everything took", tt, "seconds."
print "Filename:", filename