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