Histogram Equalization & Specification — MCQs | Digital Image Processing

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1. : Histogram equalization primarily aims to



2. : In histogram equalization, the transformation function is based on



3. : Histogram specification is also known as



4. : Which operation produces a uniform output histogram?



5. : A disadvantage of histogram equalization is that it can



6. : Histogram specification uses a specified histogram for



7. : The mapping in histogram equalization is



8. : Histogram equalization is most effective when input histogram is



9. : Histogram specification requires two steps: equalize source, then



10. : In histogram equalization, if input image has a large number of identical intensities, output may have



11. : Which term describes the desired histogram in specification?



12. : Histogram equalization does not require a reference image. True or False?



13. : For grayscale images with L levels, the equalization mapping is:



14. : Histogram specification can achieve a histogram that is



15. : After histogram equalization, mean intensity typically shifts toward



16. : Histogram equalization is a



17. : A disadvantage of histogram specification is needing



18. : Histogram equalization stretches the dynamic range by redistributing pixel intensities across



19. : Equalization is less effective on images that already have



20. : In histogram specification, mapping functions are derived from two CDFs: source and



21. : Which process can preserve specific tonal characteristics?



22. : In equalization, the output histogram approximates



23. : Which type of images may suffer over‑enhancement after equalization?



24. : Histogram specification can map a dark image to resemble



25. : The complexity of both equalization and specification algorithms is on the order of



26. : Histogram equalization is applied in



27. : Histogram specification can better match



28. : If the reference histogram is uniform, specification is equivalent to



29. : Mapping functions in specification may not be strictly monotonic if



30. : Histogram equalization may amplify



31. : In color images, histogram equalization is typically done on



32. : Global histogram equalization can fail when image has varying



33. : A local version of histogram equalization is called



34. : Histogram specification is useful to standardize images from



35. : Equalization mapping s = T(r) ensures T is



36. : Histogram equalization requires calculating



37. : In histogram specification, the inverse mapping is used to find



38. : If two different reference histograms produce identical images under specification, they must be



39. : Histogram equalization is best for images with



40. : Histogram specification cannot generate



41. : Which method can preserve histogram shape?



42. : In specification, if reference histogram is darker, output will be



43. : Histogram equalization tends to stretch regions with



44. : Mapping table for equalization is often implemented via



45. : Which method deals with user‑defined output histogram?



46. : Histogram equalization will map the lowest input intensity to



47. : After specification, the output histogram matches the reference ideally if



48. : A limitation of histogram matching is poor results if the reference histogram is



49. : Enhanced contrast after equalization is subjectively pleasing when



50. : Both histogram equalization and specification are



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