1. What is the main purpose of pseudo-color image processing?
(A) Improve compression
(B) Enhance visualization of grayscale images
(C) Reduce image noise
(D) Segment objects
2. Which of the following is NOT typically used in pseudo-coloring techniques?
(A) Intensity slicing
(B) Color transformation
(C) RGB color assignment
(D) Edge detection
3. Which technique divides an image’s gray levels into ranges and assigns each range a color?
(A) Histogram equalization
(B) Intensity slicing
(C) Band-pass filtering
(D) Gradient mapping
4. In pseudo-color processing, what is assigned to specific ranges of intensity values?
(A) Brightness
(B) Transparency
(C) Color
(D) Sharpness
5. True-color images are typically represented using how many color channels?
(A) One
(B) Two
(C) Three
(D) Four
6. Which color model is most commonly used for true-color images?
(A) CMYK
(B) HSV
(C) YCbCr
(D) RGB
7. How many bits per pixel are required to represent a 24-bit true-color image?
(A) 8
(B) 16
(C) 24
(D) 32
8. In a true-color image, the red, green, and blue components are each represented using how many bits in a 24-bit image?
(A) 2
(B) 4
(C) 6
(D) 8
9. Which type of processing assigns colors to different ranges of grayscale values to create a pseudo-color image?
(A) Bit-plane slicing
(B) Intensity slicing
(C) Color interpolation
(D) Color quantization
10. Pseudo-color is commonly used in which of the following applications?
(A) Object tracking
(B) Medical imaging
(C) Image compression
(D) Face recognition
11. Which method is NOT used in pseudo-color processing?
(A) Assigning RGB colors to intensity ranges
(B) Intensity thresholding
(C) Using spectral bands
(D) Histogram equalization
12. In pseudo-color processing, color assignment helps in:
(A) Reducing storage
(B) Encoding hidden data
(C) Enhancing feature visibility
(D) Detecting motion
13. Which of the following is true about true-color images?
(A) They are only used in infrared imaging
(B) They represent realistic color information
(C) They use intensity slicing
(D) They only require one channel
14. A true-color image with 8 bits per channel can display how many different colors?
(A) 256
(B) 65,536
(C) 16.7 million
(D) 1 million
15. Which device commonly captures true-color images?
(A) CT scanner
(B) MRI
(C) Digital camera
(D) Ultrasound
16. In pseudo-color processing, what is usually the input image?
(A) RGB image
(B) Binary image
(C) Grayscale image
(D) Color histogram
17. Which term refers to the process of mapping grayscale intensities to colors?
(A) Gamma correction
(B) Color slicing
(C) Pseudo-coloring
(D) Equalization
18. What is a key advantage of pseudo-color images in data visualization?
(A) Increased resolution
(B) More accurate measurements
(C) Easier pattern recognition
(D) Smaller file size
19. Which color space is typically NOT used for pseudo-color mapping?
(A) RGB
(B) HSV
(C) CMYK
(D) Lab*
20. In true-color representation, what determines the color of each pixel?
(A) Intensity only
(B) Hue only
(C) Red, Green, and Blue values
(D) Gray levels
21. Which application often uses pseudo-color to highlight temperature variations?
(A) Video surveillance
(B) Infrared thermography
(C) Text recognition
(D) JPEG compression
22. Which statement best describes pseudo-color processing?
(A) It compresses image data using color
(B) It adds false color to enhance features
(C) It improves the spatial resolution
(D) It converts RGB to grayscale
23. How are colors selected in pseudo-color processing?
(A) Based on physical measurements
(B) Based on user-defined mappings
(C) Automatically from color histograms
(D) Derived from edge maps
24. Which method is used in true-color image display?
(A) Single-band mapping
(B) RGB composite display
(C) Principal component analysis
(D) Threshold-based segmentation
25. What is the typical pixel depth of a pseudo-color image created from 8 gray levels?
(A) 1 bit
(B) 3 bits
(C) 8 bits
(D) 24 bits
26. True-color processing is essential in which of the following fields?
(A) Satellite multispectral analysis
(B) Image watermarking
(C) Natural scene rendering
(D) Image binarization
27. Pseudo-coloring can be particularly helpful in identifying:
(A) Motion blur
(B) Edge details
(C) Intensity patterns
(D) Compression artifacts
28. What is a limitation of pseudo-color processing?
(A) Large file size
(B) Cannot represent real colors
(C) High computational cost
(D) Reduces image resolution
29. Which of the following is a benefit of true-color image display?
(A) Better compression
(B) Accurate color visualization
(C) Enhanced grayscale contrast
(D) Edge sharpening
30. Pseudo-color techniques can be applied to:
(A) Binary images only
(B) Grayscale images only
(C) True-color images only
(D) Any type of image
31. How are pseudo-colors generally visualized?
(A) Using color bars or color maps
(B) Using Fourier transforms
(C) Through image segmentation
(D) Using edge detectors
32. Which tool is used to adjust how colors map to intensity values in pseudo-coloring?
(A) Color lookup table
(B) Low-pass filter
(C) Gamma corrector
(D) Morphological operator
33. In medical imaging, pseudo-color is applied to:
(A) Increase image file size
(B) Decrease radiation
(C) Enhance visibility of tissues
(D) Blur unnecessary regions
34. Which feature is best enhanced by pseudo-color processing in geological images?
(A) Sand grain texture
(B) Color saturation
(C) Mineral boundaries
(D) Cloud density
35. Which format best supports true-color images?
(A) BMP
(B) TIFF
(C) JPEG
(D) All of the above
36. What is the function of a color lookup table in pseudo-coloring?
(A) It stores pixel coordinates
(B) It maps intensity to color values
(C) It filters noise
(D) It compresses images
37. True-color image processing often uses which type of display?
(A) Monochrome CRT
(B) RGB monitor
(C) Infrared scanner
(D) Binary output
38. Which of the following color models is typically used in pseudo-color processing?
(A) RGB
(B) Grayscale
(C) Indexed color
(D) Binary
39. What distinguishes a true-color image from a pseudo-color image?
(A) Use of filters
(B) Real vs. artificial color mapping
(C) Size of the image
(D) Amount of noise
40. In intensity slicing, grayscale ranges are:
(A) Replaced by histograms
(B) Ignored
(C) Assigned specific colors
(D) Enhanced with filters
41. A pseudo-color image based on 3 intensity levels would have how many colors?
(A) 1
(B) 3
(C) 8
(D) 16
42. Which method converts grayscale images to false color using predefined ranges?
(A) RGB interpolation
(B) Intensity slicing
(C) Histogram matching
(D) Binarization
43. Why is pseudo-color helpful for interpreting thermal images?
(A) It reduces the resolution
(B) It adds realistic colors
(C) It differentiates temperature ranges
(D) It suppresses low-frequency data
44. In true-color display, what causes color variation between two pixels?
(A) Variation in grayscale
(B) Difference in pixel position
(C) Different RGB combinations
(D) Compression rate
45. Pseudo-color processing is useful when:
(A) Color is to be extracted from grayscale data
(B) Image is already in RGB
(C) Only binary images are available
(D) Image has high resolution
46. Which of the following would be most suitable for pseudo-coloring a medical X-ray?
(A) RGB true-color mapping
(B) Intensity-based color mapping
(C) Edge detection
(D) Color quantization
47. The term “false color” is another name for:
(A) Binary thresholding
(B) Pseudo-color
(C) RGB masking
(D) Low-pass filtering
48. True-color images preserve:
(A) Actual spectral color information
(B) Histogram features
(C) Edge maps
(D) Binary threshold levels
49. Which of the following processes is NOT involved in pseudo-coloring?
(A) Color assignment
(B) Grayscale slicing
(C) RGB acquisition
(D) LUT application
