High Pass Filtering: Get It & Sharpen Image

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Discussion Overview

The discussion revolves around the concept of high-pass filtering in image processing and signal processing. Participants explore the mechanics of high-pass filters, particularly in relation to low-pass filters, and the implications for image sharpening and contrast enhancement.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related
  • Debate/contested

Main Points Raised

  • Some participants propose that applying a low-pass filter to a signal and subtracting the result from the original signal yields a high-pass filter.
  • Others argue that while high-pass filters highlight edges, they do not necessarily increase contrast, as large areas may turn grey unless the signal is amplified.
  • A participant questions the meaning of "similar processing" in the context of high-pass filtering.
  • Some participants mention using a delay element and arithmetic operations to achieve high-pass filtering, suggesting that delay and subtract methods are key.
  • There is a request for references regarding the delay and subtract method for high-pass filtering.
  • One participant expresses uncertainty about whether the discussion pertains to analog or digital filters, indicating a potential misunderstanding of the context.

Areas of Agreement / Disagreement

Participants do not reach consensus on the implications of high-pass filtering for contrast enhancement, and there is uncertainty regarding the context of the filters being discussed (analog vs. digital). Multiple competing views remain on the effectiveness and interpretation of high-pass filters.

Contextual Notes

Some participants express confusion over the definitions and applications of high-pass and low-pass filters, particularly in relation to digital versus analog contexts. There are unresolved questions about the specifics of the delay and subtract method.

Who May Find This Useful

This discussion may be useful for individuals interested in image processing, signal processing, or those studying the principles of filtering in both analog and digital contexts.

nao113
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Homework Statement
You studied that the delay-and-sum results in low-pass filtering of signal.
How can you realize high-pass filter function using similar processing?

Did I answer them correctly?
Relevant Equations
Theory
How can we get high pass filter? When we apply a low-pass filter to 𝑥 resulting in 𝑦 , then 𝑥−𝑦 should contain whatever is left over, this gives us a high-pass filter. In image processing, high-pass filter will increase the contrast between bright and dark pixel to produce a sharpen image.
 
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You are correct about the subtraction.
But your comment on increased contrast is not needed.
A high-pass filter will highlight the edges of objects, but large areas of blacks and whites will become grey, which is not an increase of contrast. To get an increase in contrast, you must amplify the signal.
 
Baluncore said:
You are correct about the subtraction.
But your comment on increased contrast is not needed.
A high-pass filter will highlight the edges of objects, but large areas of blacks and whites will become grey, which is not an increase of contrast. To get an increase in contrast, you must amplify the signal.
so, I only need to answer like this `How can we get high pass filter? When we apply a low-pass filter to 𝑥 resulting in 𝑦 , then 𝑥−𝑦 should contain whatever is left over, this gives us a high-pass filter.` right?
 
Baluncore said:
You are correct about the subtraction.
But your comment on increased contrast is not needed.
A high-pass filter will highlight the edges of objects, but large areas of blacks and whites will become grey, which is not an increase of contrast. To get an increase in contrast, you must amplify the signal.
And what does it mean by similar processing?
 
nao113 said:
And what does it mean by similar processing?
Using one delay element, and one arithmetic sum or difference.
 
Baluncore said:
Using one delay element, and one arithmetic sum or difference.
how can I realize High Pass filtering through that process? I think my answer doesn't cover the question.
 
nao113 said:
You studied that the delay-and-sum results in low-pass filtering of signal.
How can you realize high-pass filter function using similar processing?
The delay and sum for low-pass is the clue.
For high-pass, you use delay and subtract.
 
Baluncore said:
The delay and sum for low-pass is the clue.
For high-pass, you use delay and subtract.
is there any reference for delay and subtract for high pass?
Baluncore said:
The delay and sum for low-pass is the clue.
For high-pass, you use delay and subtract.
Thank you very much for the explanation
 
nao113 said:
Homework Statement:: You studied that the delay-and-sum results in low-pass filtering of signal.
How can you realize high-pass filter function using similar processing?

Did I answer them correctly?
Relevant Equations:: Theory

How can we get high pass filter? When we apply a low-pass filter to 𝑥 resulting in 𝑦 , then 𝑥−𝑦 should contain whatever is left over, this gives us a high-pass filter. In image processing, high-pass filter will increase the contrast between bright and dark pixel to produce a sharpen image.
Sorry, are you asking in the context of analog or digital filters? I'm getting the impression that your question is about digital filters, but some of your comments don't make sense to me if so.

nao113 said:
is there any reference for delay and subtract for high pass?
If this is a question for digital filters, what learning resources have you used so far?
 

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