Module 1:- Sampling, Quantization & Human Visual System (Lecture 3 & 4)

In this Digital Image Processing (DIP) lecture, we discuss the fundamental concepts of: ✔ Sampling in Digital Images ✔ Quantization Process ✔ Spatial and Gray Level Resolution ✔ Human Visual System ✔ Structure of Human Eye ✔ Brightness Adaptation ✔ Basics of Digital Image Representation This lecture is aligned with Bihar Engineering University (BEU) B.Tech 8th Semester syllabus and is useful for: - B.Tech ECE/EEE students - BEU Patna students - Beginners learning Digital Image Processing - Students preparing for university exams and GATE fundamentals Reference Books: 1. Rafael C. Gonzalez & Richard E. Woods – Digital Image Processing 2. A.K. Jain – Fundamentals of Digital Image Processing Upcoming Topics: - Pixel Relationships - Fourier Transform - Histogram Processing - Image Enhancement - Frequency Domain Filtering - Image Compression - MATLAB Implementation in DIP Subscribe for the complete Digital Image Processing course playlist. #DigitalImageProcessing #Sampling #Quantization #MATLAB #HumanVisualSystem