def initialization(self):
X = wvt.get_z_order(self.wv.rows * self.wv.cols)
self.LIS = ts.CircularStack(self.wv.cols * self.wv.rows)
self.nextLIS = ts.CircularStack(self.wv.cols * self.wv.rows)
self.LSP = ts.CircularStack(self.wv.cols * self.wv.rows)
s_size = (self.wv.rows * self.wv.cols / 2 ** (2 * self.wv.level))
self.S = X[:s_size]
del X[:s_size]
self.I = X
maxs = abs(self.wv.data)
self.n = int(math.log(maxs.max(), 2))
self.LIS.push(self.S)
self.i_partition_size = (self.wv.rows / 2 ** self.wv.level) ** 2
self.output = [0] * self.bit_bucket
self.out_idx = 0
def iInitialization(self, width, height, level, wise_bit):
self.wv = wvt.wavelet2D(np.zeros((width, height), dtype=Int), level)
self.dt = self.wv.data
self.wv.level = level
X = wvt.get_z_order(self.wv.rows * self.wv.cols)
self.LIS = ts.CircularStack(self.wv.cols * self.wv.rows)
self.nextLIS = ts.CircularStack(self.wv.cols * self.wv.rows)
self.LSP = ts.CircularStack(self.wv.cols * self.wv.rows)
s_size = (self.wv.rows * self.wv.cols / 2 ** (2 * self.wv.level))
self.S = X[:s_size]
del X[:s_size]
self.I = X
self.n = wise_bit
self.LIS.push(self.S)
self.i_partition_size = (self.wv.rows / 2 ** self.wv.level) ** 2
self._idx = 0
self._logidx = 0
def printFoveaWindow(self):
window = np.zeros((self.wavelet.rows, self.wavelet.cols))
points = wv.get_z_order(self.wavelet.rows * self.wavelet.cols)
for i in points:
window[tuple(i)] = self.calculate_fovea_w(i)
return window