Image Processing(IP) Syllabus

This page contains Syllabus of Image Processing of BIT.

Title Image Processing
Short Name IP
Course code BIT456
Nature of course Theory
Eighth Semester
Full marks 80 + 20
Pass marks 32 + 8
Credit Hrs 3
Elective/Compulsary Elective

Course Description


Units and Unit Content

4. Image Restoration and Compression
teaching hours: 8 hrs

Introduction, Models for Image degradation and restoration process, Noise Models (Gaussian,Rayleigh, Erlang,Exponential, Uniform and Impulse), Estimation of Noise Parameters, Mean Filters: Arithmetic, Geometric, Harmonic and Contraharmonic Mean Filters Order Statistics Filters: Median, Min and Max, Midpoint and Alpha trimmed mean filters Band pass and Band Reject filters: Ideal, Butterworth and Gaussian Band pass and Band Reject filters, Lossless and Lossy Predictive Model (Block Diagram and Explanation)

Lab and Practical works