Homomorphic Filtering — MCQs | Digital Image Processing

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1. Which filtering technique is used to simultaneously enhance contrast and correct non-uniform illumination in an image?



2. What is the key idea behind homomorphic filtering in image processing?



3. Which domain is primarily used for homomorphic filtering?



4. In homomorphic filtering, which component of the image is considered to carry the fine details and texture?



5. What mathematical operation is applied to convert multiplicative components into additive ones in homomorphic filtering?



6. Which transformation is used after applying the logarithmic function in homomorphic filtering?



7. In the homomorphic filtering process, what happens to the illumination component in the frequency domain?



8. Which of the following is a result of applying homomorphic filtering to an image?



9. Why is the exponential function used in the final step of homomorphic filtering?



10. What type of filter is typically used in the frequency domain for homomorphic filtering?



11. Which type of lighting problem can homomorphic filtering solve?



12. What is a major advantage of homomorphic filtering over spatial domain contrast enhancement techniques?



13. What component in an image varies slowly and is responsible for the shading effect?



14. Homomorphic filtering is best suited for which type of images?



15. What is the effect of applying a high-pass filter in the frequency domain during homomorphic filtering?



16. Which step directly follows the logarithmic transformation in homomorphic filtering?



17. Which frequency components are associated with image reflectance?



18. What is the purpose of taking the log of the image intensity values in homomorphic filtering?



19. Which of the following is not typically a part of the homomorphic filtering process?



20. In homomorphic filtering, the exponential function is applied in which domain?



21. The illumination component is usually modeled as:



22. What is typically assumed about the reflectance component in homomorphic filtering?



23. Homomorphic filtering is a type of:



24. Which of the following combinations best describes the sequence of homomorphic filtering steps?



25. What role does the inverse FFT play in homomorphic filtering?



26. The logarithmic transformation helps to:



27. Which mathematical property is crucial for homomorphic filtering?



28. Homomorphic filtering uses which type of filtering to enhance reflectance?



29. Why is the homomorphic filter sometimes called a high-frequency emphasis filter?



30. What is the final result after applying homomorphic filtering to an image?



31. What kind of filter is typically combined with the homomorphic filter for better control over enhancement?



32. Which component is considered undesirable and often suppressed in homomorphic filtering?



33. Which of the following is not a reason for using homomorphic filtering?



34. In homomorphic filtering, what kind of illumination does the filter attempt to suppress?



35. Which of the following transformations does not occur in homomorphic filtering?



36. What is the reason for applying inverse transform in homomorphic filtering?



37. Which component is kept while suppressing the illumination in homomorphic filtering?



38. Which type of image is likely to benefit the most from homomorphic filtering?



39. What kind of image degradation does homomorphic filtering help to correct?



40. What happens to the reflectance after applying a high-pass filter in homomorphic filtering?



41. Homomorphic filtering applies filtering in which domain?



42. Which mathematical function is used to revert the log transformation at the end of the filtering process?



43. In homomorphic filtering, which operation is used to convert the image back to its original scale?



44. What effect does homomorphic filtering have on image dynamic range?



45. Which component of the image is assumed to be slowly varying and therefore filtered out by high-pass filtering?



46. Which stage in homomorphic filtering is responsible for separating the illumination from reflectance?



47. What is a key assumption made in homomorphic filtering about the composition of an image?



48. Which frequency range is typically enhanced in homomorphic filtering to highlight image features?



49. What is the main benefit of applying homomorphic filtering to medical or satellite images?



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