Your first task is to enhance the supplied images using techniques of contrast adjustment, noise reduction, color correction, and so on. There are 6 images supplied (5 regular photos, and one CT). They might not need the same kind of processing. As a result, you should write your processing techniques as modules so that you can try different combinations or parameters for different images. Try to do your best.
Note: For the CT image, you can only do noise reduction. No contrast or color adjustments here.
You can use either MATLAB, C/C++, or Python 3.x for the project.
Regarding the restriction on toolbox/library usage:
You CAN use toolbox/library functions for:
Image reading, writing, and display.
Color space conversion.
Matrix operations not specific to images.
You CAN NOT use toolbox/library functions for:
Image resizing.
Intensity transformations.
Histogram computation.
Spatial filtering. (This includes functions for doing correlation, convolution, template matching, etc.) If you're not sure about whether something can be used or not, ask the instructor.
- Introduction / Objectives
- A review of the methods you have used (be concise)
- A explanation of the experiments you have done, and the results.
- Discussions: Your observations, interpretations of results, and remaining questions.
2. The report should be typed single-spaced, with 12-point font size.
3. Include the program code listing at the end of your report, starting from a new page as a separate section.
Do not submit files in ZIP or RAR or other compressed forms. Do not submit program codes in separate files.
The grade of each project is based on the following:
The amount of effort you put in.
Quality of your report (organization, clarity, completeness, depth).
Quality of your outputs.
Quality of your code (correctness, efficiency, clarity, documentation).
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Some notes about processing speed:
Separable spatial filters.
Using lookup tables for intensity transformations.
Vectorization, if you're using MATLAB or Python.
