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Python Programming

You have to bring your computer to show software assignments to me in person to the TA.

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Software Assignment -1

 

  1. You have to bring your computer to show software assignments to me in person to the TA.
  2. You must submit a report to the e-learn for each assignment to be graded.

 

Format of a Typical Report:

  1. Learners oriented objective of the software assignment (for example, Software Assignment #1)
  2. Learn how to read/write/manipulate 2D signals (Images).
  3. Apply basic mathematical operators to implement practical concepts such as “Double Exposure”, “Change Detection”, and “Synthesize novel Images”
  4. Brief description of data acquisition
  5. Algorithm and logic used in the assignment
  6. Display intermediate and final results
  7. Conclusions: Lessons learned doing the assignment:
  8. For example, the implementation of the software assignment helped me to learn how practical systems can be implemented using basic operators.

 

 

 

  1. Write computer programs (using your favorite language, for example, MATLAB or C++) to simulate “Double Exposure”, “Change Detection”, and “Synthesize novel Images using masking concept”.

 

Hints:

  1. Double exposure: Add 10-15 images of same object taken under same conditions. I want you to compute the signal to noise ratio and noise variance to explain the crisp image created.
  2. Change Detection: subtract frames taken from your favorite video or sequence of images.
  3. Multiplication of image: Use 5+ images of your favorite object, mask different portion of different images and combine them to synthesize a new image. Align images properly before these simple operations to work.
  4. Align or register (if needed) images using techniques such as “image registration. “

 

Bonus Points: Bonus point for operations on color images synthesizing aesthetically pleasing image.

 

  1. Write computer programs (using your favorite language, for example, MATLAB) to simulate the effect of “image resolution”, “Quantization”, and “Multi-resolution”.

 

Hints:

  1. Image resolution: Take your favorite image of size 1024 x 1024, reduce the size by a factor of 2 in both dimension and continue till 32 x32. Display the resized images in 1024 x 1024.
  2. Quantization: Start with your favorite image. Use the “shift right” operator and force the MSB position to zero. This will reduce the dynamic range to half (for example, 0-255 to 0-127, 0-64,0-32, 0-16, 0-8, 0-4, and 0-2). Explain the effect of quantization and compute the SNR.
  3. Multi-resolution: reduce the size the image progressively by a factor of 1.72 and display images.
  4. Bonus Point: If you are enthusiastic try out zoom in and zoom out.

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