Image Processing Coursework

This repository contains my solutions to a 2nd year coursework assignment on Image Processing at Durham University.

The coursework consisted of 4 problems involving the creation of image filters implemented in Python 3.7 using OpenCV. A description of each problem is given below.

Problem 1

• Create a filter which applies a Light Leak and Rainbow Light Leak ('flower crown') effect.
• Should first darken the input image using a darkening coefficient.
• Should then blend the input image with a custom generated light mask using a blending coefficient.
• Should accept the darkening coefficient, blending coefficient and mode (Standard or Rainbow) as inputs.

Problem 2

• Create a filter which applies a Pencil and Colour Pencil effect on an image.
• Should generate a custom pencil effect noise texture.
• Should blend this noise texture with greyscale version of input image.
• In case of Colour Pencil Effect should create two distinct textures and apply them to different RGB channels.
• Should accept the blending coefficient and mode (Monochrome or Colour) as inputs.

Problem 3

• Create a filter which applies a Beautification effect.
• Should first smooth the input image.
• Should then perform colour grading on the smoothed image image.
• Should accept parameters that allow the level of blurring to be customised.

Problem 4

Part A

• Create a filter which performs a geometric swirl on the input image.
• Demonstrate both Nearest Neighbour and Bilinear Interpolation.
• The filter should accept swirl strength and swirl radius as inputs.

Part B

• Add Low-Pass filtering to the filter and demonstrate its effects on anti-aliasing.

Part C

• Implement functionality that reverses the geometric swirl.
• Subtract reversed image from original image to visualise difference and explain results.

The filters themselves can be found in filters.py and example uses in examples.txt.

Report

A report was also requested. The report contains descriptions of each filter, example inputs and outputs, evaluation of their running times and the discussions/demonstrations asked for in Problem 4. The report can be found in report.pdf.

Feedback

Full feedback for the assignment can be found in feedback.txt. The final mark received was 87%.

By boyla950.