Digital Image Processing (IT-703 (D)) - Important Questions

Describe image formation in the eye with brightness adaptation and discrimination.

Explain image sampling and quantization in detail with suitable diagrams.

Explain histogram processing of color images.

With necessary equations, explain the concept of homomorphic filtering.

Explain image sharpening using Butterworth highpass and Gaussian highpass filters.

Explain image restoration using minimum mean square error (Wiener) filtering.

Prove that both the 2-D continuous and discrete Fourier transforms are linear operations.

Discuss region-based / region-oriented segmentation with algorithm and example.

What is the need for compression? Explain the vector quantization method.

Differentiate between region-oriented segmentation and motion-based segmentation.

Draw a neat block diagram for encoder and decoder in a lossy predictive coding model and explain its working.

Explain the morphological operations of erosion and dilation with definitions and examples.

Explain the morphological algorithms for boundary extraction and hole filling.

Explain object recognition based on patterns and pattern classes using decision-theoretic methods and structural methods.

Write short notes on: a) Texture analysis, b) Image point operations, c) Wiener filtering, d) Object recognition.