What are the different filtering methods in data processing?
There are several filtering methods, including mean filtering, median filtering, and Gaussian filtering. Each has its own use cases.
Can you explain mean filtering and its applications?
Mean filtering replaces each pixel's value with the average of its neighbors. It's commonly used in image processing to reduce noise.
What about median filtering? How does it differ from mean filtering?
Median filtering replaces a pixel's value with the median of its neighbors, which is better at preserving edges while reducing noise.
Are there any scenarios where Gaussian filtering is preferred?
Yes, Gaussian filtering is preferred when you want to smooth images while maintaining a certain level of detail, as it uses a weighted average.
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