TE · SEM V · PICT

Digital Image
Processing Lab

9 experiments covering fundamental DIP concepts — theory, math, and Python code in one place.

EXP 01

Basic Image Operations

Read, display, resize, rotate images. Arithmetic operations, histogram computation, colour conversion, thresholding, and noise generation.

cv2.imreadhistogramthreshold
↗
EXP 02

Intensity Transformations

Negation, logarithmic transform, power-law (gamma) correction, and image flipping — the core point-processing operations.

negationloggammaflip
↗
EXP 03

Spatial Transformations

Gray-level slicing (with & without background), bit-plane slicing to expose image structure, and piecewise linear contrast stretching.

gray slicingbit-planecontrast
↗
EXP 04

Histogram Analysis & Equalisation

Manual histogram computation for dark, light, low & high contrast images. Histogram equalisation via CDF mapping.

histogramCDFequalisation
↗
EXP 05

Spatial Filtering

Box, weighted-average, and median filters. Salt-and-pepper & Gaussian noise. Custom min/max filters and impulse noise removal.

box filtermediannoise
↗
EXP 06

Point, Line Detection & Thresholding

Laplacian-based point detection, 4-directional line detection masks, and iterative global thresholding algorithm.

laplacianline detectglobal thresh
↗
EXP 07

Edge Detection Operators

First-order derivative edge detectors — Roberts (2×2), Prewitt (3×3), and Sobel (3×3 with central weighting).

robertsprewittsobel
↗
EXP 08

DCT Image Compression

Discrete Cosine Transform on 8×8 blocks — level shifting, forward DCT, JPEG Q50 quantisation, dequantisation, and IDCT.

DCTquantisationJPEG
↗
EXP 09

Huffman Coding

Lossless entropy encoding using min-heap tree construction. Compute entropy, average code length, efficiency, redundancy, and compression ratio.

huffmanentropylossless
↗