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Image Processing and Analysis

DFT-based convolution and aliasing

Exams

GATE GE

Years

2026

Subjects

Image Processing and Analysis

Topics

DFT-based convolution and aliasing
2D Convolution of Small Kernels
Color Models
Contrast stretching (radiometric enhancement)
Convolution Theorem (Spatial-Frequency Domain)
Data Quantization and Processing
Digital Image Fundamentals - Grey Levels and Storage
Digital Image Processing
Histogram Equalization
Image Enhancement
Image Segmentation and Classification
Image Transformation
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
Radiometric and Geometric Corrections
Spatial Filtering - Mean Filter
Spatial filtering (Laplacian mask)

List of top Image Processing and Analysis Questions on DFT-based convolution and aliasing asked in GATE GE

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