What will you learn?

1. Introduction to Digital image Processing, fundamentals of digital image representation, Human Visual system. Image acquisition and image sensors. 
2. Image Enhancement: Image transformation and spatial filtering. Intensity transformation, histogram processing and function plotting and spatial filtering.Frequency domain processing, 2‑D Discrete Fourier transform, computing and visualizing the 2‑d DFT in MATLAB. Filtering in frequency domain. 
3. Image Restoration: Different Noise models and different restoration methods. Colour image processing: colour image representation, basics of colour image processing, colour transformations and spatial filtering of colour images. 
4. Image Segmentation: Point, line and edge detection. Line detection using Hough transforms. Threshold and region-based segmentation. Segmentation using watershed transforms. 
5. Image Compression: Fundamentals of Wavelets, wavelet transform, use of wavelets in image processing. Lossy and lossless image compression. Entropy coding, JPEG and JPEG2000 standards. 6. Tools: MATLAB

Batch Size

No Minimum

Course Material

Provided

Module Delivery

Fast Track — 4 Hrs / Day
Regular Track — 2 Hrs / Day

Duration

40 Hrs