Assignment - 0

• Image Manipulation

1. Merging
2. Scaling
3. Intensity Centralization

Merging

• Merge two images horizontally to create a new image.
• Input:
• Image left
• Image right
• Column at which to merge the images

Column =  155

Intensity Scaling

• Scaling: multiply each pixel in the image using a constant value called as scaling factor. Scaling factor is a value between 0 and 1.
• Input:
• Image
• Column at which left section ends and right section begins
• Scaling factor for left section (alpha)
• Scaling factor for right section (beta)

Intensity Centralization

• The two images can have very different overall brightness values.
• The goal is to make sure that the average intensities of the left section and the right section are equal and centralized (= ~128).
• After centralizing pixels, the average of all the pixels in the left section and right section will be ~128
• Input:
• Image
• Column at which left section ends and right section begins

           (?_?) Column = 155                                        pixels (?_?)

2. Compute offset. (?_? = 128 − ?_?)      2.  Compute offset. (?_? = 128 −?_?)
3. For each pixel ?(?, ?) in the left section   3. For each pixel ?(?, ?) in the right section

Assignment - 0

1. Merging (10 Pts.)
2. Intensity Scaling (10 Pts)
3. Intensity  Centralizing (10 Pts)

Total: 30 Pts.

Submission Instructions

• Must use the starter code available in Github
• Submission allowed only through Github
• You will receive an email with invitation to join Github classroom
• Start by reading the readme.md file.
• Instructions are available here
• Github will automatically save the last commit as a submission before the deadline