Digital Image Processing (DIP) Notes for B.Tech 5th Sem PDF – 250+ Pages | Hybrid Handwritten + Typed | MDU

Product Description

Get the most comprehensive DIP notes covering everything from fundamentals to advanced algorithms. These notes simplify concepts like spatial filtering, frequency transforms, segmentation, restoration, and compression using diagrams and clear explanations.

Organized chapter-wise exactly as per updated university syllabi, this PDF ensures complete preparation for theory exams and viva.

Contains:

• Image processing basics
• Colour models
• Fourier & Wavelet transforms
• Image degradation models
• Restoration filters
• Lossy & Lossless compression
• Region-based segmentation
• Hough transform, edge linking

What’s Inside the PDF? (Full Syllabus Coverage)

✔SECTION I: Introduction to Image Processing

• Digital Image representation
• Sampling & Quantization
• Steps in image Processing
• Image acquisition
• Color image representation.

✔ SECTION-II: Image Transformation & Filtering

• Intensity transform functions
• histogram processing
• Spatial filtering
• Fourier transforms and its properties
• frequency domain filters
• colour models
• Pseudo colouring
• colour transforms
• Basics of Wavelet Transforms

Image Restoration

• Image degradation and restoration process,
• Noise Models,
• Noise Filters,
• degradation function,
• Inverse Filtering,
• Homomorphism Filtering

 

✔ SECTION-III: Image Compression

• Coding redundancy,
• Interpixel redundancy,
• Psychovisual redundancy,
• Huffman Coding,
• Arithmetic coding,
• Lossy compression techniques,
• JPEG Compression.

✔ SECTION-IV: Image Segmentation & Representation

• Point, Line and Edge Detection
• Thresholding
• Edge and Boundary linking
• Hough transforms
• Region Based Segmentation
• Boundary representation
• Boundary Descriptors

What’s Inside the PDF? (Full Syllabus Coverage)

✔SECTION I: Introduction to Image Processing

• Digital Image representation
• Sampling & Quantization
• Steps in image Processing
• Image acquisition
• Color image representation.

✔ SECTION-II: Image Transformation & Filtering

• Intensity transform functions
• histogram processing
• Spatial filtering
• Fourier transforms and its properties
• frequency domain filters
• colour models
• Pseudo colouring
• colour transforms
• Basics of Wavelet Transforms

Image Restoration

• Image degradation and restoration process,
• Noise Models,
• Noise Filters,
• degradation function,
• Inverse Filtering,
• Homomorphism Filtering

 

✔ SECTION-III: Image Compression

• Coding redundancy,
• Interpixel redundancy,
• Psychovisual redundancy,
• Huffman Coding,
• Arithmetic coding,
• Lossy compression techniques,
• JPEG Compression.

✔ SECTION-IV: Image Segmentation & Representation

• Point, Line and Edge Detection
• Thresholding
• Edge and Boundary linking
• Hough transforms
• Region Based Segmentation
• Boundary representation
• Boundary Descriptors

 

Who Should Buy This PDF?

This notes package is ideal for:

• B.Tech (CSE / IT / ECE) Students
• BCA / MCA Students learning DIP
• Students preparing for semester exams
• GATE aspirants (for basic fundamentals)
• Anyone who wants easy explanations for Digital Image Processing

Why Students Trust Easy Study Notes?

• Clear handwriting
• Simple language
• Perfect exam format
• 100% syllabus covered
• Neatly scanned PDFs
• Easy for last-minute revision
• High exam retention value

Bonus Material

• Exam-ready questions
• Short revision notes
• Must-draw diagrams