Welcome to the PixelReader Lab Collection! This repository is a data structures project that I've worked on during my freshman year at the Milwaukee School of Engineering!

Worked on creating a program that will read images in the PPM format and produce an image that contains the median and average of the input images. The program is designed to accept a operation of mean or median and then output a filename after inputting two or more image files.

Also implemented the MeanImageMedian class that contains methods to be called by the program. Implemented the following class methods:

• Image readPPMImage(Path imagePath) — Reads the .ppm image file specified by the image path
• void writePPMImage(Path imagePath, Image image) — Writes image to a .ppm image file specified by the image path
• Image calculateMedianImage(Image[] inputImages) — calculates the median color for each pixel in the input images
• Image calculateMeanImage(Image[] inputImages) — calculates the mean color for each pixel in the input images

Created a graphical user interface (GUI) to load and display images. Made the following updates:

• Declared readPPMImage() and writePPMImage() as private methods
• Implemented readImage() and writeImage() methods with the same parameters as readPPMImage() and writePPMImage() that will call readPPMImage() and writePPMImage() when the file extention on the Path ends with .ppm.
• Ensured calculateMedianImage() and calculateMeanImage() calculate alpha value for each pixel.
• Update readImage() and writeImage() methods to use JavaFX classes to add support for reading and writing JPG and PNG file formats.

Added the following updates to the graphical user interface:

• Load multiple input images
• Button to request generation and display of a "median" image
• Button to request generation and display of a "mean" image
• Button to save the generated image

Updated the program to read and write images in a custom binary format. Updated the methods to use a functional programming approach. Added the following extra functionality:

• Max — produces an output image where the pixel components for the output image are selected as the maximum value from the input images.
• Min — produces an output image where the pixel components for the output image are selected as the minimum value from the input images.
• Random — produces an output image where the pixel components for the output image are selected at random from the input images.