1. Who typically benefits most from color image enhancement in medical imaging applications?
(A) Patients with motion disorders
(B) Radiologists analyzing MRI scans
(C) Nurses recording patient vitals
(D) Surgeons performing open-heart surgery
2. Which of the following is a goal of color image enhancement?
(A) Increasing data compression
(B) Reducing image file size
(C) Improving visual perception of features
(D) Reconstructing lost image parts
3. What does histogram equalization in color images aim to enhance?
(A) File format compatibility
(B) Brightness and contrast
(C) Image rotation
(D) Compression ratio
4. Which component is typically processed separately in HSI-based color enhancement?
(A) Saturation
(B) Hue
(C) Intensity
(D) Alpha
5. Which color model allows more intuitive manipulation of color enhancement for human vision?
(A) RGB
(B) CMYK
(C) YUV
(D) HSI
6. Which of the following is a nonlinear technique for color enhancement?
(A) Bit-plane slicing
(B) Histogram equalization
(C) Logarithmic transformation
(D) Averaging filter
7. In histogram equalization of color images, which approach helps prevent color distortion?
(A) Apply equalization on RGB channels separately
(B) Convert to HSI and enhance intensity only
(C) Enhance hue and saturation directly
(D) Use lossy compression before enhancement
8. Which of the following is a common problem when enhancing color images using the RGB model directly?
(A) Loss of metadata
(B) Color distortion
(C) Alpha blending errors
(D) Noise underfitting
9. What is the main advantage of working in the HSI space for color enhancement?
(A) Smaller file size
(B) Channel independence
(C) Uniform spatial resolution
(D) Eliminates chromatic aberration
10. Which transform is often applied before enhancement to improve computational efficiency?
(A) Walsh transform
(B) Discrete Fourier transform
(C) RGB to HSI transform
(D) Laplace transform
11. Which of the following is often used to enhance underexposed regions in color images?
(A) Low-pass filtering
(B) Histogram clipping
(C) Adaptive histogram equalization
(D) Binary thresholding
12. Which operation is typically used for global contrast enhancement in color images?
(A) Convolution
(B) Gamma correction
(C) Morphological closing
(D) Fourier transform
13. Which domain is most commonly used in color image enhancement for feature highlighting?
(A) Spatial domain
(B) Wavelet domain
(C) Frequency domain
(D) Compressed domain
14. What is a primary goal of contrast stretching in color image enhancement?
(A) Reducing image resolution
(B) Increasing image depth
(C) Expanding the dynamic range
(D) Applying color quantization
15. Which of the following is typically true in color image enhancement techniques?
(A) Hue is enhanced independently of intensity
(B) Intensity and saturation are always processed together
(C) RGB model is used for contrast enhancement
(D) Gamma correction cannot be used on color images
16. Which component in YCbCr is most related to brightness?
(A) Y
(B) Cb
(C) Cr
(D) All equally
17. Why is YCbCr color space useful in image enhancement?
(A) It separates luminance from chrominance
(B) It compresses images automatically
(C) It works only with grayscale images
(D) It improves audio clarity
18. Which technique enhances local contrast in specific regions of a color image?
(A) Global histogram equalization
(B) Local histogram equalization
(C) RGB-to-CMYK conversion
(D) Inverse filtering
19. What does saturation control in an image?
(A) Sharpness
(B) Brightness
(C) Vividness of color
(D) Resolution
20. In color image enhancement, what can result from independently equalizing RGB channels?
(A) Better segmentation
(B) Improved color fidelity
(C) Artificial color shifts
(D) Lower computational load
21. Which technique is used to prevent noise amplification in enhanced color images?
(A) Edge detection
(B) Smoothing filter before enhancement
(C) Median thresholding
(D) Vector quantization
22. What does gamma correction mainly affect in an image?
(A) Noise
(B) Resolution
(C) Brightness levels
(D) Sharpness
23. What type of filtering helps improve low contrast in color images?
(A) Band-reject filtering
(B) High-pass filtering
(C) Low-pass filtering
(D) Homomorphic filtering
24. Which method ensures better color preservation during enhancement?
(A) Enhance RGB separately
(B) Work in YCbCr or HSI color space
(C) Apply Fourier transform
(D) Increase pixel size
25. Which of the following is a key step before enhancing satellite images in color?
(A) Convert to grayscale
(B) Register multispectral bands
(C) Rotate the image
(D) Decrease brightness
26. Which type of enhancement is preferred for real-time color video?
(A) Local enhancement
(B) Spatial convolution
(C) Global transformation
(D) Fast adaptive enhancement
27. Which component in the HSV model helps control how “pure” a color appears?
(A) Value
(B) Saturation
(C) Hue
(D) Gamma
28. What is the effect of applying a logarithmic transform on a color image?
(A) Increases low pixel values
(B) Sharpen edges
(C) Equalize histogram
(D) Boost hue saturation
29. Which model is commonly used in television broadcasting and is suitable for enhancement?
(A) RGB
(B) HSI
(C) YCbCr
(D) CMY
30. What does chrominance represent in a color image?
(A) Spatial resolution
(B) Intensity
(C) Hue and saturation information
(D) Gamma index
31. Why is histogram equalization not always suitable for color images?
(A) It reduces image contrast
(B) It causes spatial aliasing
(C) It may alter the perceived color
(D) It destroys chromaticity
32. Which function maps pixel values non-linearly in image enhancement?
(A) Averaging
(B) Linear scaling
(C) Gamma correction
(D) Bit-plane slicing
33. Which space is typically used for face enhancement and detection?
(A) CMYK
(B) HSV
(C) RGB
(D) YCbCr
34. Which color enhancement technique is used for improving underwater images?
(A) Color quantization
(B) White balancing
(C) Pseudo-coloring
(D) Region growing
35. What is one disadvantage of enhancing images in the RGB model?
(A) High storage requirement
(B) Hue shifts and distortion
(C) Limited dynamic range
(D) Fixed histogram bins
36. Which color enhancement technique adjusts color balance in shadows and highlights?
(A) Global contrast stretching
(B) Color grading
(C) Unsharp masking
(D) Fourier enhancement
37. Which color enhancement is often used in artistic and cinematic applications?
(A) Histogram matching
(B) Gamma equalization
(C) Color grading
(D) Median enhancement
38. What does CLAHE stand for in image enhancement?
(A) Color-Level Adaptive Histogram Equalization
(B) Contrast-Limited Adaptive Histogram Equalization
(C) Chromatic Linear Adaptive Histogram Equalization
(D) Contrast-Limited Averaged Histogram Expansion
39. Which enhancement technique prevents over-enhancement in uniform areas?
(A) CLAHE
(B) Global equalization
(C) Log transform
(D) High-boost filtering
40. What happens if color enhancement is too aggressive?
(A) Better image clarity
(B) Balanced colors
(C) Over-saturation and unnatural appearance
(D) Lower brightness
41. Which of the following is used to enhance shadows without affecting highlights?
(A) Histogram expansion
(B) Gamma compression
(C) Shadow masking
(D) Tone mapping
42. Why is tone mapping used in color image enhancement?
(A) For real-time data encryption
(B) To convert HDR images for display
(C) To extract edge information
(D) To segment color channels
43. What is the main function of color correction in image enhancement?
(A) Add noise
(B) Improve alignment
(C) Restore natural appearance
(D) Reduce bandwidth
44. Which of the following helps achieve color constancy in images?
(A) Median filtering
(B) White balance adjustment
(C) Bit-plane extraction
(D) Histogram smoothing
45. What does dynamic range compression aim to achieve?
(A) Remove high-frequency content
(B) Expand shadows
(C) Compress pixel intensity range
(D) Reduce frame rate
46. Which color model is generally not perceptually uniform?
(A) RGB
(B) Lab
(C) HSI
(D) YUV
47. Which space is best suited for perceptual uniformity in enhancement?
(A) RGB
(B) Lab
(C) CMY
(D) XYZ
48. What is the main advantage of working with Lab color space in enhancement tasks?
(A) Computational efficiency
(B) Human perception alignment
(C) Image segmentation simplicity
(D) High compression ratio
49. Which tool is used to adjust brightness, contrast, and color balance in one interface?
(A) Gamma curve
(B) Histogram
(C) Levels adjustment
(D) Bit slicing tool
50. Which enhancement strategy helps balance local and global contrast?
(A) CLAHE
(B) Fourier smoothing
(C) Log compression
(D) Binary thresholding
