How to convert an colored image into density monochrome one?
up vote
0
down vote
favorite
I've searched for long time and nothing comes back. All I can find is converting images to narrow gray scale thresholds. and it looks awful.
All I want is to convert an image to density monochrome(maybe wrong words, please correct me, I really don't know how to describe that..). Just like mono laser printer does. It uses different densities of black dots to present different gray levels.
I'm using C++ and OPENCV now. Appreciate anyone can help:-)
===============
Update:
This kind of images called 'halftone'. Search engines will be more helpful with a proper search word.
Here's something:
Halftoning with OpenCV
c++ opencv image-processing
asked Nov 15 at 15:46
Herlin Drew
35
add a comment |
up vote
0
down vote
favorite
I've searched for long time and nothing comes back. All I can find is converting images to narrow gray scale thresholds. and it looks awful.
All I want is to convert an image to density monochrome(maybe wrong words, please correct me, I really don't know how to describe that..). Just like mono laser printer does. It uses different densities of black dots to present different gray levels.
I'm using C++ and OPENCV now. Appreciate anyone can help:-)
===============
Update:
This kind of images called 'halftone'. Search engines will be more helpful with a proper search word.
Here's something:
Halftoning with OpenCV
c++ opencv image-processing
asked Nov 15 at 15:46
Herlin Drew
35
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I've searched for long time and nothing comes back. All I can find is converting images to narrow gray scale thresholds. and it looks awful.
All I want is to convert an image to density monochrome(maybe wrong words, please correct me, I really don't know how to describe that..). Just like mono laser printer does. It uses different densities of black dots to present different gray levels.
I'm using C++ and OPENCV now. Appreciate anyone can help:-)
===============
Update:
This kind of images called 'halftone'. Search engines will be more helpful with a proper search word.
Here's something:
Halftoning with OpenCV
c++ opencv image-processing
asked Nov 15 at 15:46
Herlin Drew
35
I've searched for long time and nothing comes back. All I can find is converting images to narrow gray scale thresholds. and it looks awful.
All I want is to convert an image to density monochrome(maybe wrong words, please correct me, I really don't know how to describe that..). Just like mono laser printer does. It uses different densities of black dots to present different gray levels.
I'm using C++ and OPENCV now. Appreciate anyone can help:-)
===============
Update:
This kind of images called 'halftone'. Search engines will be more helpful with a proper search word.
Here's something:
Halftoning with OpenCV
c++ opencv image-processing
c++ opencv image-processing
asked Nov 15 at 15:46
Herlin Drew
35
asked Nov 15 at 15:46
Herlin Drew
35
edited Nov 15 at 16:33
asked Nov 15 at 15:46
Herlin Drew
35
asked Nov 15 at 15:46
Herlin Drew
35
asked Nov 15 at 15:46
Herlin Drew
35
35
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
up vote
1
down vote
accepted
The right term is 'dithering'.
Here is a description of one of simple dithering algorithms.
Неre seems to be one of the implementations of it for OpenCV in C++. Maybe not the most efficient one, but one that could get you started.
answered Nov 15 at 16:04
Kit.
30426
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
add a comment |
up vote
0
down vote
OpenCV doesn't support monochrome images internally. Only grayscale is supported and it is stored as grayscale PGM (P2).
It may be useful. https://sdaps.org/Documentation/Scanning/
answered Nov 15 at 15:49
Multifora
287
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The right term is 'dithering'.
Here is a description of one of simple dithering algorithms.
Неre seems to be one of the implementations of it for OpenCV in C++. Maybe not the most efficient one, but one that could get you started.
answered Nov 15 at 16:04
Kit.
30426
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
add a comment |
up vote
1
down vote
accepted
The right term is 'dithering'.
Here is a description of one of simple dithering algorithms.
Неre seems to be one of the implementations of it for OpenCV in C++. Maybe not the most efficient one, but one that could get you started.
answered Nov 15 at 16:04
Kit.
30426
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The right term is 'dithering'.
Here is a description of one of simple dithering algorithms.
Неre seems to be one of the implementations of it for OpenCV in C++. Maybe not the most efficient one, but one that could get you started.
answered Nov 15 at 16:04
Kit.
30426
The right term is 'dithering'.
Here is a description of one of simple dithering algorithms.
Неre seems to be one of the implementations of it for OpenCV in C++. Maybe not the most efficient one, but one that could get you started.
answered Nov 15 at 16:04
Kit.
30426
answered Nov 15 at 16:04
Kit.
30426
answered Nov 15 at 16:04
Kit.
30426
answered Nov 15 at 16:04
Kit.
30426
30426
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
add a comment |
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
Thanks your links are useful. And I suddenly found that kind of images called halftone. :-)
– Herlin Drew
Nov 15 at 16:26
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
@HerlinDrew: You can also read here for a nice introduction to halftoning and dithering: crisluengo.net/archives/355
– Cris Luengo
Nov 15 at 16:29
add a comment |
up vote
0
down vote
OpenCV doesn't support monochrome images internally. Only grayscale is supported and it is stored as grayscale PGM (P2).
It may be useful. https://sdaps.org/Documentation/Scanning/
answered Nov 15 at 15:49
Multifora
287
add a comment |
up vote
0
down vote
OpenCV doesn't support monochrome images internally. Only grayscale is supported and it is stored as grayscale PGM (P2).
It may be useful. https://sdaps.org/Documentation/Scanning/
answered Nov 15 at 15:49
Multifora
287
add a comment |
up vote
0
down vote
up vote
0
down vote
OpenCV doesn't support monochrome images internally. Only grayscale is supported and it is stored as grayscale PGM (P2).
It may be useful. https://sdaps.org/Documentation/Scanning/
answered Nov 15 at 15:49
Multifora
287
OpenCV doesn't support monochrome images internally. Only grayscale is supported and it is stored as grayscale PGM (P2).
It may be useful. https://sdaps.org/Documentation/Scanning/
answered Nov 15 at 15:49
Multifora
287
edited Nov 15 at 15:55
answered Nov 15 at 15:49
Multifora
287
answered Nov 15 at 15:49
Multifora
287
answered Nov 15 at 15:49
Multifora
287
287
add a comment |
add a comment |
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