Semester : SEMESTER 7
Subject : Digital Image Processing
Year : 2018
Term : APRIL
Scheme : 2015 Full Time
Course Code : EC 370
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Explain the image restoration mechanism using a Weiner filter.
Explain how a degraded image can be restored using an inverse filter. Explain its
limitations.
Explain any two geometric transformations on an image.
Explain how low pass filtering can be performed using frequency domain method.
PART C
Answer any two full questions, each carries 20 marks.
Explain the method of global thresholding for image segmentation.
What is Laplacian of an image? Derive an appropriate mask for the Laplacian
operator. Explain how Laplacian can be used for detecting edges in an image.
What is a LoG filter? Give an appropriate mask for a LoG filter.
Explain the active contour algorithm for image segmentation.
Explain hoe lines can be detected using Hough transform.
Compare the image compression standards JPEG and MPEG.
Explain the different steps in dictionary based compression algorithm.
Explain the use of wavelet transforms in image compression.
Illustrate Huffman coding with an example.
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