Introduction to Digital Image Processing – MCQs

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1. Q1: What is the basic unit of a digital image?



2. Q2: Digital Image Processing primarily deals with ___.



3. Q3: The process of converting an analog image into digital form is called ___.



4. Q4: The number of bits used to represent each pixel is known as ___.



5. Q5: The device used to acquire digital images is known as ___.



6. Q6: Which of the following defines image resolution?



7. Q7: Which image transformation is used to enhance contrast?



8. Q8: Image noise is generally caused by ___.



9. Q9: What does HVS stand for in image processing?



10. Q10: The process of adjusting the image to enhance its quality is called ___.



11. Q11: Which function is used to reduce image size without losing details?



12. Q12: A grayscale image typically has how many intensity levels?



13. Q13: Which color model is commonly used in digital image processing?



14. Q14: The operation that combines two images by adding their pixel values is called ___.



15. Q15: What is the purpose of image quantization?



16. Q16: Power-law transformation is also called ___.



17. Q17: Which technique is used to remove high-frequency noise?



18. Q18: Bit-plane slicing is used to ___.



19. Q19: Which method enhances an image by spreading out its intensity values?



20. Q20: What is the main disadvantage of increasing bit depth?



21. Q21: An image with more pixels per inch is said to have higher ___.



22. Q22: Which of the following is not an image enhancement technique?



23. Q23: Which transform is used in frequency domain processing?



24. Q24: What does DCT stand for in DIP?



25. Q25: What is the main goal of image segmentation?



26. Q26: Which is used to sharpen an image?



27. Q27: The technique of averaging pixel values is used in ___.



28. Q28: A binary image has how many intensity levels?



29. Q29: Which of the following enhances the edges in an image?



30. Q30: Which filter is most effective in removing salt-and-pepper noise?



31. Q31: In digital image processing, the spatial domain refers to ___.



32. Q32: The smallest addressable element in an image is a ___.



33. Q33: Image restoration aims to ___.



34. Q34: A 3×3 mask is commonly used in ___.



35. Q35: What is the purpose of zero-padding?



36. Q36: Which of the following is a non-linear filter?



37. Q37: Which of the following is used for edge detection?



38. Q38: In histogram equalization, the histogram is made ___.



39. Q39: In a color image, each pixel typically contains ___.



40. Q40: A 24-bit image supports how many colors?



41. Q41: Which process reduces the size of image data?



42. Q42: Which of the following can perform spatial smoothing?



43. Q43: In negative transformation, pixel value r is transformed to:



44. Q44: Log transformation is useful for ___.



45. Q45: Which image representation uses continuous values?



46. Q46: A high-pass filter emphasizes ___.



47. Q47: What does PSNR stand for?



48. Q48: Which is not a basic image enhancement technique?



49. Q49: What is the full form of DIP?



50. Q50: Which software is commonly used for image processing tasks?



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

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