- Independently Published
Digital Image Processing MCQs: Multiple Choice Questions and Answers (Quiz & Tests with Answer Keys)
Key Metrics
- Arshad Iqbal
- Independently Published
- Paperback
- 9781073885527
- 9.02 X 5.98 X 0.4 inches
- 0.58 pounds
- Computers > Computer Science
- English
Book Description
Digital Image Processing MCQs: Multiple Choice Questions and Answers (Quiz & Tests with Answer Keys) covers subjective tests for competitive exams to solve 600 MCQs. Digital Image Processing MCQ with answers helps with fundamental concepts for theoretical and analytical assessment with distance learning. Digital Image Processing Quiz study guide helps to learn and practice questions for placement test.
Digital Image Processing Multiple Choice Questions and Answers (MCQs) by topics is a revision guide with a collection of quiz questions and answers on topics: Digital image fundamentals, color image processing, filtering in frequency domain, image compression, image restoration and reconstruction, image segmentation, intensity transformation, spatial filtering, introduction to digital image processing, morphological image processing, wavelet, multi-resolution processing for online learning.
Digital Image Processing Questions and Answers for students covers viva interview, competitive exam questions for certification and career tests prep from computer science textbooks on chapters:
- Color Image Processing MCQs
- Digital Image Fundamentals MCQs
- Filtering in Frequency Domain MCQs
- Image Compression MCQs
- Image Restoration and Reconstruction MCQs
- Image Segmentation MCQs
- Intensity Transformation and Spatial Filtering MCQs
- Introduction to Digital Image Processing MCQs
- Morphological Image Processing MCQs
- Wavelet and Multiresolution Processing MCQs
Color Image Processing MCQs with answers covers MCQ questions on topics: Basics of full color image processing, color fundamentals in color image processing, color models, color transformation, pseudo color image processing, smoothing, and sharpening.
Digital Image Fundamentals MCQs with answers covers MCQ questions on topics: Representing digital image, elements of visual perception, image interpolation, image sampling and quantization, image sensing and acquisition, light and electromagnetic spectrum, simple image formation model, spatial and intensity resolution.
Filtering in Frequency Domain MCQs with answers covers MCQ questions on topics: Basics of filtering in frequency domain, filtering concepts, 10d discrete Fourier transform, background of intensity transformation, convolution, discrete Fourier transform of one variable, extension to functions of two variables, image interpolation and resampling, preliminary concepts, properties of 10d DFT, sampling, and Fourier transform of sampled function.
Image Compression MCQs with answers covers MCQ questions on topics: Fundamentals of image compression, image compression models, image compression techniques, coding redundancy, fidelity criteria, image compressors, and measuring image information.
Image Restoration and Reconstruction MCQs with answers covers MCQ questions on topics: Model of image restoration process, image reconstruction from projections, constrained least squares filtering, convolution, estimating degradation function, geometric mean filter, image processing algorithms, inverse filtering, linear position invariant degradations, minimum mean square error filtering, noise models, periodic noise reduction using frequency domain filtering, and restoration in presence of noise.
Image Segmentation MCQs with answers covers MCQ questions on topics: Fundamentals of image segmentation, image processing algorithms, edge models in image segmentation, edge detection in image processing, edge detection in segmentation, edge models, line detection in digital image processing, line detection in image segmentation, point line and edge detection, and preview in image segmentation.
Intensity Transformation and Spatial Filtering MCQs with answers covers MCQ questions on topics: Background of intensity transformation, and fundamentals of spatial filtering.
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