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filter.py
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# -*- coding: utf-8 -*-
import numpy as np
def Naive_Filter():
# 原图 Naive Filter
filter_0 = np.array([[[0,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[1,0,0],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[0,1,0],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[0,0,1],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,0]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Sharpness_Center_Filter():
# 中心锐化 Sharpness_Center Filter
filter_0 = np.array([[[-1,0,0],[-1,0,0],[-1,0,0]],
[[-1,0,0],[9,0,0],[-1,0,0]],
[[-1,0,0],[-1,0,0],[-1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,-1,0],[0,-1,0],[0,-1,0]],
[[0,-1,0],[0,9,0],[0,-1,0]],
[[0,-1,0],[0,-1,0],[0,-1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,-1],[0,0,-1],[0,0,-1]],
[[0,0,-1],[0,0,9],[0,0,-1]],
[[0,0,-1],[0,0,-1],[0,0,-1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Sharpness_Edge_Filter():
# 边缘锐化滤波器 Sharpness_Edge Filter
filter_0 = np.array([[[1,0,0],[1,0,0],[1,0,0]],
[[1,0,0],[-7,0,0],[1,0,0]],
[[1,0,0],[1,0,0],[1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,1,0],[0,1,0],[0,1,0]],
[[0,1,0],[0,-7,0],[0,1,0]],
[[0,1,0],[0,1,0],[0,1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,1],[0,0,1],[0,0,1]],
[[0,0,1],[0,0,-7],[0,0,1]],
[[0,0,1],[0,0,1],[0,0,1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Edge_Detection_360_degree_Filter():
# 360度边缘检测 Edge_Detection_360_degree Filter
filter_0 = np.array([[[-1,0,0],[-1,0,0],[-1,0,0]],
[[-1,0,0],[8,0,0],[-1,0,0]],
[[-1,0,0],[-1,0,0],[-1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,-1,0],[0,-1,0],[0,-1,0]],
[[0,-1,0],[0,8,0],[0,-1,0]],
[[0,-1,0],[0,-1,0],[0,-1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,-1],[0,0,-1],[0,0,-1]],
[[0,0,-1],[0,0,8],[0,0,-1]],
[[0,0,-1],[0,0,-1],[0,0,-1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Edge_Detection_45_degree_Filter():
# ４５度边缘检测 Edge_Detection_45_degree Filter
filter_0 = np.array([[[-1,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[2,0,0],[0,0,0]],
[[0,0,0],[0,0,0],[-1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,-1,0],[0,0,0],[0,0,0]],
[[0,0,0],[0,2,0],[0,0,0]],
[[0,0,0],[0,0,0],[0,-1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,-1],[0,0,0],[0,0,0]],
[[0,0,0],[0,0,2],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,-1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Embossing_45_degree_Filter():
# ４５度浮雕 Embossing_45_degree Filter
filter_0 = np.array([[[-1,0,0],[-1,0,0],[0,0,0]],
[[-1,0,0],[1,0,0],[1,0,0]],
[[0,0,0],[1,0,0],[1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,-1,0],[0,-1,0],[0,0,0]],
[[0,-1,0],[0,1,0],[0,1,0]],
[[0,0,0],[0,1,0],[0,1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,-1],[0,0,-1],[0,0,0]],
[[0,0,-1],[0,0,1],[0,0,1]],
[[0,0,0],[0,0,1],[0,0,1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Embossing_Asymmetric_Filter():
# 非对称浮雕 Embossing_Asymmetric Filter
filter_0 = np.array([[[2,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[-1,0,0],[0,0,0]],
[[0,0,0],[0,0,0],[-1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,2,0],[0,0,0],[0,0,0]],
[[0,0,0],[0,-1,0],[0,0,0]],
[[0,0,0],[0,0,0],[0,-1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,2],[0,0,0],[0,0,0]],
[[0,0,0],[0,0,-1],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,-1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Averaging_Blur_Filter():
# 均值模糊 Averaging_Blur Filter
filter_0 = np.array([[[0,0,0],[0.25,0,0],[0,0,0]],
[[0.25,0,0],[0,0,0],[0.25,0,0]],
[[0,0,0],[0.25,0,0],[0,0,0]]],
dtype=np.float)
filter_1 = np.array([[[0,0,0],[0,0.25,0],[0,0,0]],
[[0,0.25,0],[0,0,0],[0,0.25,0]],
[[0,0,0],[0,0.25,0],[0,0,0]]],
dtype=np.float)
filter_2 = np.array([[[0,0,0],[0,0,0.25],[0,0,0]],
[[0,0,0.25],[0,0,0],[0,0,0.25]],
[[0,0,0],[0,0,0.25],[0,0,0]]],
dtype=np.float)
return filter_0, filter_1, filter_2
def Completed_Blur_Filter():
# Completed_均值模糊 Completed_Blur Filter
filter_0 = np.array([[[1.0/9,0,0],[1.0/9,0,0],[1.0/9,0,0]],
[[1.0/9,0,0],[1.0/9,0,0],[1.0/9,0,0]],
[[1.0/9,0,0],[1.0/9,0,0],[1.0/9,0,0]]],
dtype=np.float)
filter_1 = np.array([[[0,1.0/9,0],[0,1.0/9,0],[0,1.0/9,0]],
[[0,1.0/9,0],[0,1.0/9,0],[0,1.0/9,0]],
[[0,1.0/9,0],[0,1.0/9,0],[0,1.0/9,0]]],
dtype=np.float)
filter_2 = np.array([[[0,0,1.0/9],[0,0,1.0/9],[0,0,1.0/9]],
[[0,0,1.0/9],[0,0,1.0/9],[0,0,1.0/9]],
[[0,0,1.0/9],[0,0,1.0/9],[0,0,1.0/9]]],
dtype=np.float)
return filter_0, filter_1, filter_2
def Motion_Blur_Filter():
# Motion_Blur Filter
filter_0 = np.array([[[1,0,0],[0,0,0],[0,0,0]],
[[0,0,0],[1,0,0],[0,0,0]],
[[0,0,0],[0,0,0],[1,0,0]]],
dtype=np.int16)
filter_1 = np.array([[[0,1,0],[0,0,0],[0,0,0]],
[[0,0,0],[0,1,0],[0,0,0]],
[[0,0,0],[0,0,0],[0,1,0]]],
dtype=np.int16)
filter_2 = np.array([[[0,0,1],[0,0,0],[0,0,0]],
[[0,0,0],[0,0,1],[0,0,0]],
[[0,0,0],[0,0,0],[0,0,1]]],
dtype=np.int16)
return filter_0, filter_1, filter_2
def Gaussian_Blur_Filter():
# 高斯模糊 Gaussian_Blur Filter
filter_0 = np.array([[[1.0/36,0,0],[4.0/36,0,0],[1.0/36,0,0]],
[[4.0/36,0,0],[16.0/36,0,0],[4.0/36,0,0]],
[[1.0/36,0,0],[4.0/36,0,0],[1.0/36,0,0]]],
dtype=np.float)
filter_1 = np.array([[[0,1.0/36,0],[0,4.0/36,0],[0,1.0/36,0]],
[[0,4.0/36,0],[0,16.0/36,0],[0,4.0/36,0]],
[[0,1.0/36,0],[0,4.0/36,0],[0,1.0/36,0]]],
dtype=np.float)
filter_2 = np.array([[[0,0,1.0/36],[0,0,4.0/36],[0,0,1.0/36]],
[[0,0,4.0/36],[0,0,16.0/36],[0,0,4.0/36]],
[[0,0,1.0/36],[0,0,4.0/36],[0,0,1.0/36]]],
dtype=np.float)
return filter_0, filter_1, filter_2
def None_Exist_Filter():
# None_Exist Filter
filter_0 = np.zeros((3,3,3), dtype=np.float)
filter_1 = np.zeros((3,3,3), dtype=np.float)
filter_2 = np.zeros((3,3,3), dtype=np.float)
return filter_0, filter_1, filter_2
def Filter(filter_name):
# Choose which group of filters to be returned
if filter_name == 'Naive':
filter_0, filter_1, filter_2 = Naive_Filter()
elif filter_name == 'Sharpness_Center':
filter_0, filter_1, filter_2 = Sharpness_Center_Filter()
elif filter_name == 'Sharpness_Edge':
filter_0, filter_1, filter_2 = Sharpness_Edge_Filter()
elif filter_name == 'Edge_Detection_360_degree':
filter_0, filter_1, filter_2 = Edge_Detection_360_degree_Filter()
elif filter_name == 'Edge_Detection_45_degree':
filter_0, filter_1, filter_2 = Edge_Detection_45_degree_Filter()
elif filter_name == 'Embossing_45_degree':
filter_0, filter_1, filter_2 = Embossing_45_degree_Filter()
elif filter_name == 'Embossing_Asymmetric':
filter_0, filter_1, filter_2 = Embossing_Asymmetric_Filter()
elif filter_name == 'Averaging_Blur':
filter_0, filter_1, filter_2 = Averaging_Blur_Filter()
elif filter_name == 'Completed_Blur':
filter_0, filter_1, filter_2 = Completed_Blur_Filter()
elif filter_name == 'Motion_Blur':
filter_0, filter_1, filter_2 = Motion_Blur_Filter()
elif filter_name == 'Gaussian_Blur':
filter_0, filter_1, filter_2 = Gaussian_Blur_Filter()
else:
filter_0, filter_1, filter_2 = None_Exist_Filter()
print '\nNo such Filter !\n'
return filter_0, filter_1, filter_2