EC-803 (B) Digital Image Processing Notes
5 notes for Digital Image Processing, unit by unit.
Notes for EC-803 (B)
- Unit 3 · Short notes Image Enhancement 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 1 · Short notes Digital Image Processing (DIP) 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 · Short notes Image Transforms 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 4 · Short notes Image Restoration 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 · Short notes Image Compression 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
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