High Pass Filtering: Get It & Sharpen Image

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SUMMARY

The discussion centers on the implementation of high-pass filtering in image processing, specifically through the subtraction of a low-pass filtered signal from the original signal. The process involves applying a low-pass filter to an input signal 𝑥, resulting in 𝑦, and then calculating 𝑥−𝑦 to achieve the high-pass filter effect. It is clarified that while a high-pass filter highlights edges, it does not inherently increase contrast; signal amplification is necessary for that purpose. The conversation also touches on the use of delay and subtract methods for realizing high-pass filters.

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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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