Question

1. Load or design the image. 2. Create MATLAB functions to: 2.1. Convert the image (matrix) to the vector. 2.2. Code vector with repetition code by defined length. 2.3. Decode coded vector with repetition code by defined length. 2.4. Convert vector to the image. 3. Add noise to the image. The noise density must reach 3 %, 5 %, 10 %, 25 % and 50 % of the image size. 4. Investigate the effectiveness of repetition code with the repetitions 1, 3, 5 and 7. 5. Present dependence of quantity of incorrectly restored data versus redundancy of code.

          1. Load or design the image.
2. Create MATLAB functions to:
2.1. Convert the image (matrix) to the vector.
2.2. Code vector with repetition code by defined length.
2.3. Decode coded vector with repetition code by defined length.
2.4. Convert vector to the image.
3. Add noise to the image. The noise density must reach 3 %, 5 %, 10 %, 25 % and 50 % of the
image size.
4. Investigate the effectiveness of repetition code with the repetitions 1, 3, 5 and 7.
5. Present dependence of quantity of incorrectly restored data versus redundancy of code.

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1. Load or design the image.
2. Create MATLAB functions to:
2.1. Convert the image (matrix) to the vector.
2.2. Code vector with repetition code by defined length.
2.3. Decode coded vector with repetition code by defined length.
2.4. Convert vector to the image.
3. Add noise to the image. The noise density must reach 3 %, 5 %, 10 %, 25 % and 50 % of the
image size.
4. Investigate the effectiveness of repetition code with the repetitions 1, 3, 5 and 7.
5. Present dependence of quantity of incorrectly restored data versus redundancy of code.

Added by Megan N.

University Physics with Modern Physics

Hugh D. Young 14th Edition

Instant Answer

Solved by Expert Rajesh Kumar

Step 1

Load or design the image: To load an image in MATLAB, you can use the `imread` function. For example: ```matlab image = imread('image.jpg'); ``` Replace `'image.jpg'` with the path to your image file. Show more…

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Text: Matlab With code using Matlab 1. Load or design the image. 2. Create MATLAB functions to: 2.1. Convert the image (matrix) to a vector. 2.2. Encode the vector with a repetition code of a defined length. 2.3. Decode the encoded vector with a repetition code of a defined length. 2.4. Convert the vector back to the image. 3. Add noise to the image. The noise density must reach 3%, 5%, 10%, 25%, and 50% of the image size. 4. Investigate the effectiveness of the repetition code with repetitions of 1, 3, 5, and 7. 5. Present the dependence of the quantity of incorrectly restored data versus the redundancy of the code.

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