Smoothing Filters (Mean, Gaussian, Median) — MCQs | Digital Image Processing

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1. What is the primary purpose of a smoothing filter in image processing?



2. Which smoothing filter replaces each pixel value with the average of its neighborhood?



3. Which filter is best suited for removing salt-and-pepper noise?



4. What shape is the kernel of a typical Gaussian filter?



5. Which filter uses a nonlinear approach to smooth an image?



6. The mean filter is also known as the:



7. What does a larger kernel size in a smoothing filter generally lead to?



8. What property of Gaussian filters makes them useful in many image processing tasks?



9. Which filter would you use to preserve edges while reducing noise?



10. What is the primary drawback of using a mean filter?



11. How does the median filter determine the output pixel value?



12. Gaussian smoothing is especially effective for which type of noise?



13. Which of the following is a linear smoothing filter?



14. Which filter gives equal weight to all neighboring pixels?



15. Which filter uses a weighted average where center pixels have more influence?



16. What is the effect of applying a smoothing filter multiple times?



17. Which filter is least affected by outliers in the data?



18. In Gaussian filtering, the standard deviation (sigma) controls:



19. Which filter can cause blocky artifacts if not used carefully?



20. What is the complexity of a median filter in 2D images?



21. Which filter is considered a low-pass filter?



22. What happens to image details when a smoothing filter is applied?



23. What kind of noise is the median filter most effective against?



24. The mean filter is most effective when the noise is:



25. Which filter is more computationally expensive?



26. What is a common size for a smoothing kernel?



27. Gaussian filters are based on which mathematical function?



28. Which filter performs well at removing Gaussian noise but may blur edges?



29. Which filter performs sorting of pixel values in the kernel window?



30. What is the typical effect of applying a 5×5 median filter to an image?



31. Which filter is less sensitive to extreme pixel values?



32. What does a Gaussian filter kernel resemble in a 2D plot?



33. The main disadvantage of median filters is:



34. What is preserved better by a median filter compared to a mean filter?



35. Which of the following is a spatial domain filtering technique?



36. A 3×3 Gaussian kernel is used to:



37. Smoothing filters reduce:



38. Which of the following filters is isotropic?



39. Which filter is most robust in preserving small image details?



40. What does the term “kernel” refer to in smoothing filters?



41. Increasing the size of a Gaussian kernel results in:



42. Which of the following is a major disadvantage of mean filtering?



43. What does the term “spatial filter” refer to?



44. Which filter performs averaging using a Gaussian distribution?



45. What effect does smoothing have on image sharpness?



46. In image processing, the term “denoising” means:



47. Which filter maintains overall brightness better?



48. Why are Gaussian filters preferred in image preprocessing?



49. Which smoothing filter is based on statistical ranking?



50. The standard deviation in a Gaussian filter affects:



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