def extract(self):
print 'Action: extract'
customizableImage = CustomizableImage.load(self.__input)
width, height = customizableImage.getDimensions()
transform = WalshHadamardTransform()
spectralY = customizableImage.getYData()
if spectralY:
y = transform.inverseTransformSequence(spectralY)
y = self.__merge(y, width, height)
y = np.array(y).reshape(-1).tolist()
print len(y)
else:
y = [0] * (width * height)
spectralCb = customizableImage.getCbData()
if spectralCb:
cb = transform.inverseTransformSequence(spectralCb)
cb = self.__merge(cb, width, height)
cb = np.array(cb).reshape(-1).tolist()
print len(cb)
else:
cb = [128] * (width * height)
spectralCr = customizableImage.getCrData()
if spectralCr:
cr = transform.inverseTransformSequence(spectralCr)
cr = self.__merge(cr, width, height)
cr = np.array(cr).reshape(-1).tolist()
print len(cr)
else:
cr = [128] * (width * height)
pixels = map(YCbCrColorModel().getRGB, zip(y, cb, cr))
bmpImage = BMPImage()
bmpImage.setDimensions(width, height)
bmpImage.setRawData(pixels)
bmpImage.save(self.__output)
def extract(self):
print 'Action: extract'
customizable_image = CustomizableImage.load(self.__input)
width, height = customizable_image.get_dimensions()
transform = WalshHadamardTransform()
spectral_y = customizable_image.get_y_data()
if spectral_y:
y = transform.inverse_transform_sequence(spectral_y)
y = self._merge(y, width, height)
y = np.array(y).reshape(-1).tolist()
print len(y)
else:
y = [0] * (width * height)
spectral_cb = customizable_image.get_cb_data()
if spectral_cb:
cb = transform.inverse_transform_sequence(spectral_cb)
cb = self._merge(cb, width, height)
cb = np.array(cb).reshape(-1).tolist()
print len(cb)
else:
cb = [128] * (width * height)
spectral_cr = customizable_image.get_cr_data()
if spectral_cr:
cr = transform.inverse_transform_sequence(spectral_cr)
cr = self._merge(cr, width, height)
cr = np.array(cr).reshape(-1).tolist()
print len(cr)
else:
cr = [128] * (width * height)
pixels = map(YCbCrColorModel().get_rgb, zip(y, cb, cr))
bmp_image = BMPImage()
bmp_image.set_dimensions(width, height)
bmp_image.set_raw_data(pixels)
bmp_image.save(self.__output)
def compress(self):
print 'Action: compress'
bmpImage = BMPImage()
try:
bmpImage.load(self.__input)
except IOError as e:
print 'IO Error: ' + str(e)
return
width, height = bmpImage.getDimensions()
data = bmpImage.getRawData()
color = RgbColorModel()
y, cb, cr = zip(*map(color.getYCbCr, data))
yBlockSize = 8
cbBlockSize = 16
crBlockSize = 16
y = self.__slice(y, width, height, yBlockSize)
cb = self.__slice(cb, width, height, cbBlockSize)
cr = self.__slice(cr, width, height, crBlockSize)
transform = WalshHadamardTransform()
spectralY = transform.transformSequence(y)
spectralCb = transform.transformSequence(cb)
spectralCr = transform.transformSequence(cr)
customizableImage = CustomizableImage()
customizableImage.setDimensions(width, height)
customizableImage.setDescriptions(
(yBlockSize, 4, len(spectralY)),
(cbBlockSize, 4, len(spectralCb)),
(crBlockSize, 4, len(spectralCr))
)
customizableImage.setData(spectralY, spectralCb, spectralCr)
customizableImage.save(self.__output)
def compress(self):
print 'Action: compress'
bmp_image = BMPImage()
try:
bmp_image.load(self.__input)
except IOError as e:
print 'IO Error: ' + str(e)
return
width, height = bmp_image.get_dimensions()
data = bmp_image.get_raw_data()
color = RgbColorModel()
y, cb, cr = zip(*map(color.get_y_cb_cr, data))
y_block_size = 8
cb_block_size = 16
cr_block_size = 16
y = self._slice(y, width, height, y_block_size)
cb = self._slice(cb, width, height, cb_block_size)
cr = self._slice(cr, width, height, cr_block_size)
transform = WalshHadamardTransform(self.__coeff_removal)
spectral_y = transform.transform_sequence(y)
spectral_cb = transform.transform_sequence(cb)
spectral_cr = transform.transform_sequence(cr)
customizable_image = CustomizableImage()
customizable_image.set_dimensions(width, height)
customizable_image.set_descriptions(
(y_block_size, 4, len(spectral_y)),
(cb_block_size, 4, len(spectral_cb)),
(cr_block_size, 4, len(spectral_cr)))
customizable_image.set_data(spectral_y, spectral_cb, spectral_cr)
customizable_image.save(self.__output)