Image Processing - Syllabus
Embark on a profound academic exploration as you delve into the Image Processing course (IP) within the distinguished Tribhuvan university's BIT department. Aligned with the BIT Curriculum, this course (BIT456) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 80 + 20 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.
This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.
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)