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This repository contains practical implementation of image processing using python in google colab.
Topics:
- Intro to colab and DIP
- Channel Separation
- Histogram of separated channel
- Image inversion
- Image segmentation using Threshold
- Generating Histogram manually
- Histogram Equalization using PDF & CDF
- Image Compression Technique- DCT(Discrete Cosine Transformation)
- Run Length Encoding(RLE), Decoding
- Simple Lossy JPEG Compression
- JPEG Decoding
- Lossless JPEG Compression- Prediction Based
- Temporal Image Compression
- LOCO-I Image Compression
- Bits Per Pixel of an Image
- Entropy of an Image
- Image Segmentation: Edge Detection
- Gradient Operators: Prewitt, Sobel
- Compass Operators
- Laplacian Operator & Laplacian of Gaussian Operator(LoG) with & without Zero Crossing
- Canny Edge Detector
- Region Growing Algorithm
AS lab
- Morphological operations: Erosion, Dilation
- Wavelet Transformation