EC-803 (B) RGPV B.Tech
Digital Image Processing (DIP)
The official syllabus is free to read, no account needed.
Syllabus, notes and important questions for EC-803 (B)
- Syllabus Official RGPV syllabus Free
- Important Questions 2 sets of questions Free
- Notes 5 documents Free
- Previous Year Papers None for EC-803 (B) yet
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Digital Image Processing (DIP) 3 topics
- Introduction to digital image processing, including examples of application fields and the fundamental steps of DIP
- Components of an image processing system
- Digital image fundamentals: elements of visual perception, image sensing and acquisition, image sampling and quantization, basic relationships between pixels
Unit 2 Image Transforms 5 topics
- Two‑dimensional impulse and its shifting properties
- The $2D$ continuous Fourier transform pair
- The $2D$ sampling theorem and $2D$ sampling
- $2D$ Discrete Fourier Transform ($\text{DFT}$) and its properties
- Other transforms and their properties: Cosine transform, Sine transform, Walsh transform, Hadamard transform, Haar transform, Slant transform, Karhunen‑Lo\`eve (KL) transform
Unit 3 Image Enhancement 2 topics
- Spatial‑domain methods: basic intensity transformation functions, fundamentals of spatial filtering, smoothing spatial filters (linear and non‑linear), sharpening spatial filters (unsharp masking and high‑boost filtering), combined spatial enhancement techniques
- Frequency‑domain methods: fundamentals of filtering in the frequency domain, image smoothing filters (Butterworth and Gaussian low‑pass filters), image sharpening filters (Butterworth and Gaussian high‑pass filters), selective frequency filtering
Unit 4 Image Restoration 5 topics
- Image degradation and restoration models
- Noise models and restoration by spatial filtering
- Noise reduction via frequency‑domain filtering
- Linear shift‑invariant degradations and estimation of the degradation function
- Inverse filtering, Wiener filtering, and image reconstruction from projections
Unit 5 Image Compression 2 topics
- Fundamentals of data compression: basic compression methods such as Huffman coding, Golomb coding, LZW coding, Run‑Length coding, and symbol‑based coding
- Digital image watermarking and representation/description techniques, including the Minimum Perimeter Polygons (MPP) algorithm
Exam insights
Counted from 4 past EC-803 (B) papers.
Marks asked per paper, by unit
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Unit 1 Digital Image Processing (DIP) 7 marks
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Unit 2 Image Transforms 7 marks
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Unit 3 Image Enhancement 7 marks
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Unit 4 Image Restoration 6 marks
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Unit 5 Image Compression 7 marks
Average marks of the questions from each unit in one paper. You answer only some of them, so the total is more than the paper’s maximum.
Asked again and again
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Explain the fundamental steps of digital image processing and illustrate each step with an example.
Asked 4 times: 2022, 2023, 2024, 2025
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Derive the 2‑D DFT and its inverse; compute the DFT of a sample image matrix.
Asked 3 times: 2022, 2023, 2025
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Design a spatial filter (e.g., high‑boost) for edge enhancement and provide its mask.
Asked 3 times: 2023, 2024, 2025