Pseudo-color & True-color Processing — MCQs | Digital Image Processing

49
Score: 0
Attempted: 0/49
Subscribe
1. What is the main purpose of pseudo-color image processing?



2. Which of the following is NOT typically used in pseudo-coloring techniques?



3. Which technique divides an image’s gray levels into ranges and assigns each range a color?



4. In pseudo-color processing, what is assigned to specific ranges of intensity values?



5. True-color images are typically represented using how many color channels?



6. Which color model is most commonly used for true-color images?



7. How many bits per pixel are required to represent a 24-bit true-color image?



8. In a true-color image, the red, green, and blue components are each represented using how many bits in a 24-bit image?



9. Which type of processing assigns colors to different ranges of grayscale values to create a pseudo-color image?



10. Pseudo-color is commonly used in which of the following applications?



11. Which method is NOT used in pseudo-color processing?



12. In pseudo-color processing, color assignment helps in:



13. Which of the following is true about true-color images?



14. A true-color image with 8 bits per channel can display how many different colors?



15. Which device commonly captures true-color images?



16. In pseudo-color processing, what is usually the input image?



17. Which term refers to the process of mapping grayscale intensities to colors?



18. What is a key advantage of pseudo-color images in data visualization?



19. Which color space is typically NOT used for pseudo-color mapping?



20. In true-color representation, what determines the color of each pixel?



21. Which application often uses pseudo-color to highlight temperature variations?



22. Which statement best describes pseudo-color processing?



23. How are colors selected in pseudo-color processing?



24. Which method is used in true-color image display?



25. What is the typical pixel depth of a pseudo-color image created from 8 gray levels?



26. True-color processing is essential in which of the following fields?



27. Pseudo-coloring can be particularly helpful in identifying:



28. What is a limitation of pseudo-color processing?



29. Which of the following is a benefit of true-color image display?



30. Pseudo-color techniques can be applied to:



31. How are pseudo-colors generally visualized?



32. Which tool is used to adjust how colors map to intensity values in pseudo-coloring?



33. In medical imaging, pseudo-color is applied to:



34. Which feature is best enhanced by pseudo-color processing in geological images?



35. Which format best supports true-color images?



36. What is the function of a color lookup table in pseudo-coloring?



37. True-color image processing often uses which type of display?



38. Which of the following color models is typically used in pseudo-color processing?



39. What distinguishes a true-color image from a pseudo-color image?



40. In intensity slicing, grayscale ranges are:



41. A pseudo-color image based on 3 intensity levels would have how many colors?



42. Which method converts grayscale images to false color using predefined ranges?



43. Why is pseudo-color helpful for interpreting thermal images?



44. In true-color display, what causes color variation between two pixels?



45. Pseudo-color processing is useful when:



46. Which of the following would be most suitable for pseudo-coloring a medical X-ray?



47. The term “false color” is another name for:



48. True-color images preserve:



49. Which of the following processes is NOT involved in pseudo-coloring?



More MCQs on Digital image Processing

  1. Introduction to DIP — MCQs | Digital Image Processing

  2. Human Visual System (HVS) — MCQs | Digital Image Processing

  3. Image Acquisition Devices — MCQs | Digital Image Processing

  4. Image Sampling & Quantization — MCQs | Digital Image Processing

  5. Image Resolution & Bit Depth — MCQs | Digital Image Processing

  6. Basic Image Operations (Negative, Log, Power-law) — MCQs | Digital Image Processing

  7. Histogram Equalization & Specification — MCQs | Digital Image Processing

  8. Contrast Stretching — MCQs | Digital Image Processing

  9. Image Arithmetic (Add, Subtract, Multiply, Divide) — MCQs | Digital Image Processing

  10. Bit-plane Slicing — MCQs | Digital Image Processing

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

  12. Sharpening Filters (Laplacian, Gradient) — MCQs | Digital Image Processing

  13. High-Boost Filtering — MCQs | Digital Image Processing

  14. Edge Detection (Sobel, Prewitt, Roberts, Canny, LoG) — MCQs | Digital Image Processing

  15. Fourier Transform (DFT, FFT) — MCQs | Digital Image Processing

  16. Frequency Domain Filtering — MCQs | Digital Image Processing

  17. Low-pass & High-pass Filters — MCQs | Digital Image Processing

  18. Homomorphic Filtering — MCQs | Digital Image Processing

  19. Noise Models (Gaussian, Salt & Pepper, Speckle) — MCQs | Digital Image Processing

  20. Adaptive Filtering — MCQs | Digital Image Processing

  21. Inverse & Wiener Filtering — MCQs | Digital Image Processing

  22. Pseudo-color & True-color Processing — MCQs | Digital Image Processing

  23. Color Space Conversion (RGB ↔ HSV, HSI, YCbCr) — MCQs | Digital Image Processing

  24. Color Image Enhancement — MCQs | Digital Image Processing

  25. Image Segmentation (Thresholding, Otsu, K-means, Region Growing) — MCQs | Digital Image Processing

  26. Edge-based Segmentation — MCQs | Digital Image Processing

  27. Region Splitting and Merging — MCQs | Digital Image Processing

  28. Watershed Algorithm — MCQs | Digital Image Processing

  29. Morphological Operations (Erosion, Dilation, Opening, Closing) — MCQs | Digital Image Processing

  30. Boundary Extraction — MCQs | Digital Image Processing

  31. Skeletonization — MCQs | Digital Image Processing

  32. Connected Components Labeling — MCQs | Digital Image Processing

  33. Texture Analysis (GLCM, LBP, Gabor Filters) — MCQs | Digital Image Processing

  34. Shape Descriptors (Perimeter, Area, Compactness, Eccentricity) — MCQs | Digital Image Processing

  35. Statistical Features (Mean, Variance, Skewness) — MCQs | Digital Image Processing

  36. Principal Component Analysis (PCA) — MCQs | Digital Image Processing

  37. Linear Discriminant Analysis (LDA) — MCQs | Digital Image Processing

  38. Feature Matching (SIFT, SURF, ORB) — MCQs | Digital Image Processing

  39. Image Registration — MCQs | Digital Image Processing

  40. Image Stitching — MCQs | Digital Image Processing

  41. Motion Detection & Optical Flow — MCQs | Digital Image Processing

  42. Background Subtraction — MCQs | Digital Image Processing

  43. Object Detection & Tracking — MCQs | Digital Image Processing

  44. Template Matching — MCQs | Digital Image Processing

  45. Pattern Recognition (KNN, SVM, ANN) — MCQs | Digital Image Processing

  46. Image Classification — MCQs | Digital Image Processing

  47. Image Clustering — MCQs | Digital Image Processing

  48. Image Compression (RLE, Huffman, LZW, JPEG, JPEG2000) — MCQs | Digital Image Processing

  49. Video Compression (MPEG, H.264) — MCQs | Digital Image Processing

  50. Image Fusion (Pixel, Feature, Decision Level) — MCQs | Digital Image Processing

  51. Image Watermarking — MCQs | Digital Image Processing

  52. Steganography — MCQs | Digital Image Processing

  53. Face Detection & Recognition — MCQs | Digital Image Processing

  54. Gesture Recognition — MCQs | Digital Image Processing

  55. 3D Image Processing — MCQs | Digital Image Processing

  56. Stereo Vision & Depth Estimation — MCQs | Digital Image Processing

  57. Medical Image Analysis (CT, MRI, Ultrasound) — MCQs | Digital Image Processing

  58. Remote Sensing Image Processing — MCQs | Digital Image Processing

  59. Satellite Image Enhancement — MCQs | Digital Image Processing

  60. Deep Learning for Image Processing (CNN, GANs, Autoencoders) — MCQs | Digital Image Processing

  61. Image Captioning — MCQs | Digital Image Processing

  62. Semantic & Instance Segmentation (Mask R-CNN, U-Net) — MCQs | Digital Image Processing

  63. Super Resolution (SRCNN, ESRGAN) — MCQs | Digital Image Processing

  64. Image Inpainting — MCQs | Digital Image Processing

  65. Image Style Transfer — MCQs | Digital Image Processing

  66. Real-Time Image Processing — MCQs | Digital Image Processing

  67. Augmented Reality (AR) & Virtual Reality (VR) — MCQs | Digital Image Processing

  68. DIP using MATLAB/OpenCV/Python — MCQs | Digital Image Processing

  69. DIP in IoT & Embedded Systems — MCQs | Digital Image Processing

  70. Ethics & Privacy in Image Processing — MCQs | Digital Image Processing

Computer Science Repeated MCQs Book Download

Related Posts:

Contents Copyrights Reserved By T4Tutorials