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

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

Explain about image sampling and quantization.

Explain about histogram processing of color images.

Explain the concept of homomorphic filtering with necessary equations.

Explain image sharpening using Butterworth highpass and Gaussian highpass filters.

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

What are the different approaches to estimate the noise parameters in an image? Explain.

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

Discuss region-based / region-oriented segmentation.

Explain the need for compression and the vector quantization method.

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

Draw and explain the encoder and decoder block diagram in a lossy predictive coding model.

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

Explain the morphological operations of erosion and dilation.

Explain the morphological algorithms for boundary extraction and hole filling.