필터 지우기
필터 지우기

Find which halftone was used

조회 수: 2 (최근 30일)
Mesho
Mesho 2023년 5월 31일
이동: Stephen23 2023년 6월 1일
Dear all,
I have a colored halftone image. I want to know which halftone method was used to generate this image (or which method is the nearest to it).
Is there any way to know that?
Mustafa

답변 (1개)

DGM
DGM 2023년 5월 31일
편집: DGM 2023년 5월 31일
I imagine the answer is "maybe, but probably not".
The big problem I see is that it seems that when most people say "halftone", they don't mean halftone at all.
they mean dithering.
So without any information, I'm left unable to know which problem is being described.
If you have a halftone image, then is it digitally halftoned, or is it a photo or scan of a print?
If you have a dithered color image then you might be able to tell some things, but I doubt an exact answer is obtainable. For a black/white reduction of a grayscale image, you might be able to get away with more, but for color images, you're left trying to derive one or more coefficient matrices and determine the underlying quantization method and the color space in which quantization was performed -- all blindly without a reference. I don't think there's enough information to do that.
With that in mind, maybe it also matters what specific information is required. Is it actually necessary to find the size of the coefficient matrix and all of its values, or is it sufficient to just say "this image uses ordered dithering"? Also, is it necessary to do this programmatically for multiple images, or is it sufficient to show one image to someone and get an educated guess?
  댓글 수: 1
Mesho
Mesho 2023년 6월 1일
이동: Stephen23 2023년 6월 1일
Thank you for the many useful information.
To make things clearer, I am showing here two microscopic images of an old printed material. I wanted to know which halftone method was used by the old printer or at least to make a good guess.
Note that both images are from the same old printed material but with different magnification at the microscope (first image is with higher magnification).

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Convert Image Type에 대해 자세히 알아보기

태그

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by