Adaptive Filtering — MCQs | Digital Image Processing

49
Score: 0
Attempted: 0/49
Subscribe
1. Who introduced the concept of adaptive filtering in image processing?



2. Which of the following best describes an adaptive filter?



3. What is the main advantage of adaptive filters in image processing?



4. Which type of noise is best removed using adaptive filters?



5. Adaptive filters operate based on:



6. Which of the following is an example of an adaptive filter?



7. Wiener filter assumes the signal and noise are:



8. Which domain is commonly used in adaptive filtering?



9. What does an adaptive filter do when local variance is high?



10. When is adaptive filtering most useful?



11. What characteristic of a pixel neighborhood is typically analyzed in adaptive filtering?



12. The Wiener filter works optimally under which condition?



13. Adaptive filters preserve:



14. Which parameter is dynamically adjusted in adaptive filtering?



15. Which of the following is not a benefit of adaptive filtering?



16. What does the adaptive median filter use to change its window size?



17. Adaptive filtering differs from traditional filtering by:



18. Which filter is known to adapt to both spatial and frequency content?



19. The adaptive Wiener filter minimizes:



20. Which image quality metric often improves after adaptive filtering?



21. In adaptive filtering, larger window size results in:



22. The term “adaptive” in adaptive filtering refers to:



23. Which of the following is typically not considered in adaptive filter design?



24. What is the effect of adaptive filtering on image edges?



25. Adaptive filtering can be used in which application?



26. What is a drawback of adaptive filters?



27. Which component is essential for Wiener filter computation?



28. The adaptive filter performs well in regions with:



29. Which of the following is not true about adaptive median filters?



30. What differentiates adaptive median filters from standard median filters?



31. Adaptive filters are considered:



32. In adaptive filtering, when noise variance is low, the filter behaves like a:



33. What is the first step in most adaptive filtering processes?



34. Which of the following is an adaptive filter used in time-varying systems?



35. The LMS filter stands for:



36. Adaptive filters are more accurate than fixed filters when:



37. What makes adaptive filters computationally intensive?



38. In real-time applications, adaptive filters require:



39. Which filter works on the principle of minimizing the overall error in prediction?



40. Which method is used to evaluate adaptive filter performance?



41. Which signal processing concept supports adaptive filtering in images?



42. Which of the following techniques is often used with adaptive filtering for better results?



43. Which of the following is not usually modified in adaptive filtering?



44. Adaptive filters are widely used in:



45. In adaptive filtering, the filter response changes with:



46. Which mathematical operation is central to LMS adaptive filters?



47. An ideal adaptive filter would:



48. Adaptive filters are particularly useful in:



49. Which factor is dynamically updated in an LMS adaptive filter?



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