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Image Processing and Analysis

Histogram Equalization

Exams

GATE GE

Years

2026

Subjects

Image Processing and Analysis

Topics

Histogram Equalization
2D Convolution of Small Kernels
Color Models
Contrast stretching (radiometric enhancement)
Convolution Theorem (Spatial-Frequency Domain)
DFT-based convolution and aliasing
Data Quantization and Processing
Digital Image Fundamentals - Grey Levels and Storage
Digital Image Processing
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 Histogram Equalization asked in GATE GE

Let \(f(x,y)\) be an image with the histogram as shown in the figure. X-axis denotes grey levels (r) and Y-axis denotes the probability (p) of occurrence of the grey levels.

What is the variance of the equalized image?

GATE GE - 2026
GATE GE
Image Processing and Analysis
Histogram Equalization