B.Tech 5th Semester Digital Image Processing Notes PDF
Product Summary
Prepare with confidence using our ultimate 250+ page Digital Image Processing Notes. These notes follow the exact university syllabus and offer handwritten + typed clarity that helps students score high easily
Quick Details
| Feature | Details |
| Notes Name | DIP Notes PDF |
| Subject | Digital Image Processing |
| Semester | B.Tech 5th Sem |
| Total Pages | 250+ |
| File Size | 1.8 MB |
| Type | Handwritten + Typed |
| Format | |
| Author | Easy Study Notes |
| Language | English |
| Suitable For | CSE / IT / ECE |
₹258.00 Original price was: ₹258.00.₹150.00Current price is: ₹150.00.
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Description
Product Description
Digital Image Processing requires clear conceptual understanding — and these notes deliver exactly that. With structured explanations, labelled illustrations, and exam-ready summaries, the PDF ensures complete preparation.
Great for students under AKTU, VTU, RGPV, JNTU, GTU, PTU and more.
PDF Includes:
- Image basics & transforms
- Filtering operations
- Image degradation & restoration
- Compression (Huffman, JPEG)
- Segmentation & edge detection
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
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