[Solved] IP Homework1- Contrast adjustment, noise reduction, color correction

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 youre not sure about whether something can be used or not, ask the instructor.

About the submission:

• Submit your report (as a single PDF file) through New E3.
• Regarding the content of the report:

1. The main text (max. 15 pages, not counting the code listing) should include the following sections:
   • 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).

Other notes:

• Late submission: 10% deduction per day, up to until the submission is closed (usually one week from the due date).

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Some notes about processing speed:

• Separable spatial filters.
• Using lookup tables for intensity transformations.
• Vectorization, if youre using MATLAB or Python.