blend_modes package¶

Submodules¶

blend_modes.blend_modes module¶

blend_modes.blend_modes.addition(img_in, img_layer, opacity)¶

Apply addition blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = addition(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.darken_only(img_in, img_layer, opacity)¶

Apply darken only blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = darken_only(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.difference(img_in, img_layer, opacity)¶

Apply difference blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = difference(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.divide(img_in, img_layer, opacity)¶

Apply divide blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = divide(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.dodge(img_in, img_layer, opacity)¶

Apply dodge blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = dodge(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.grain_extract(img_in, img_layer, opacity)¶

Apply grain extract blending mode of a layer on an image.

Find more information on the KDE UserBase Wiki.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = grain_extract(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.grain_merge(img_in, img_layer, opacity)¶

Apply grain merge blending mode of a layer on an image.

Find more information on the KDE UserBase Wiki.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = grain_merge(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.hard_light(img_in, img_layer, opacity)¶

Apply hard light blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = hard_light(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.lighten_only(img_in, img_layer, opacity)¶

Apply lighten only blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = lighten_only(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.multiply(img_in, img_layer, opacity)¶

Apply multiply blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = multiply(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.screen(img_in, img_layer, opacity)¶

Apply screen blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = screen(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.soft_light(img_in, img_layer, opacity)¶

Apply soft light blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = soft_light(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes.blend_modes.subtract(img_in, img_layer, opacity)¶

Apply subtract blending mode of a layer on an image.

Find more information on Wikipedia.

Example:

import img_filters_c, cv2
img_in = cv2.imread('./orig.png', -1).astype(float)
img_layer = cv2.imread('./layer.png', -1).astype(float)
img_out = subtract(img_in,img_layer,0.5)
cv2.imshow('window', img_out)
cv2.waitKey()

Parameters:	img_in (3-dimensional numpy array of floats (r/g/b/a) in range 0-255.0) – Image to be blended upon img_layer (3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0) – Layer to be blended with image opacity (float) – Desired opacity of layer for blending
Returns:	Blended image
Return type:	3-dimensional numpy array of floats (r/g/b/a) in range 0.0-255.0

blend_modes package¶

Submodules¶

blend_modes.blend_modes module¶

Module contents¶

Table Of Contents

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