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Exams

GATE GE

Subjects

Image Processing and Analysis

Topics

DFT-based convolution and aliasing
2D Convolution of Small Kernels
Contrast stretching (radiometric enhancement)
Convolution Theorem (Spatial-Frequency Domain)
Digital Image Fundamentals - Grey Levels and Storage
Histogram Equalization
Image resampling (bilinear and cubic convolution)
Intensity transformations (negative, threshold, log, power law)
Linear vs Non-linear Raster/Spatial Operations
Pixel Adjacency / m-Adjacency and Connectivity
Spatial Filtering - Mean Filter
Spatial filtering (Laplacian mask)

List of top Image Processing and Analysis Questions on DFT-based convolution and aliasing

Which of the following is/are CORRECT when using the Discrete Fourier Transform to compute convolution without zero padding?

GATE GE - 2026
GATE GE
Image Processing and Analysis
DFT-based convolution and aliasing

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