CORE

Digital Image Processing

24EST608 · S6 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

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Modules
Module 01Fundamental Concepts in Image Processing (4 hrs)expand

Image as 2D data. Image representation in gray scale, Binary and Color images. Fundamental steps in image processing, Sampling and quantization. Spatial and Gray Level Resolution, Basic relationship between pixels– neighborhood, adjacency, connectivity. Applications of digital image processing.

Module 02Image Transform (4 hrs)expand

Basic concept of spatial domain and frequency domain, 2D Discrete Fourier Transform (DFT). 2D Discrete Cosine Transform (2D DCT). 2D Discrete Wavelet Transform (DWT)- Approximation and Detail coefficients.

Module 03Image Enhancement (7 hrs)expand

Basic gray level transformation functions - Log transformations, Power-Law transformations, Contrast stretching, Grey-level slicing. Histogram equalization. Basics of spatial filtering – Convolution. Smoothing spatial filter- Linear and nonlinear filters, sharpening spatial filters-Gradient and Laplacian

Module 04Morphological operations (4 hrs)expand

Structuring Element. Morphological operations-Dilation and Erosion, Opening and Closing. Morphological algorithms-Hit or Miss Transformation, Boundary detection.

Module 05Image Segmentation (5 hrs)expand

Fundamentals of Image Segmentation. Thresholding - Basics of Intensity thresholding. Global and Adaptive thresholding. Region based Approach - Region Growing, Region Splitting and Merging. Edge Detection - Edge Operators- Sobel and Prewitt, Canny

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