Image Processing Toolbox

A simple image processing toolbox written from scratch in Python using PyQt5 and numpy.

Preview

Quick Runthrough

Detailed Feature Screenshots

Metadata	Resizing	Rotation	Shearing

Histogram Equalization	Erosion & Dilation	Opening and Closing

Box Blur	Median Blur	Highboost Filter

Low Pass Filter	High Pass Filter	Band Pass Filter	Band Reject Filter

Backprojection and Sinogram	Noise Generation	Noise Analysis ROI

Features

Opens Image files

File Type	Supported	Notes
DICOM	Yes
JPG	Yes
BMP	Yes
PNG	Yes
TIFF	Yes	Not fully

View Metadata

• Width and Height in pixels
• Image Size in bytes
• File Size in bytes
• Compression ratio
• Channel Depth
• Color Space (RGB, CMYK, etc)

Affine Transformations

Interpolation Methods

• Nearest Neighbor
• Bilinear

Operations

• Resizing
  • Factors ranging from 0.01x to 16x
• Rotation
• Shearing

Filters

Spatial Domain	Frequency Domain
Box Blur	Low Pass Filter
Median Blur	High Pass Filter
Highboost Filter	Band Pass Filter
	Band Reject Filter

Image Enhancement

Histogram Equalization

• Display Histogram
• Equalize Histogram

Morphological Processing

Operations	Structuring Elements
Erosion	Square
Dilation	Cross
Opening	Circle
Closing

How to install

Just download the release from gh releases, unzip then run the executable.

How to run dev environment

1. Clone the repo

2. Create a virtual environment in the src directory

   cd <this repo>/src
   python -m venv ./env

3. Activate the virtual environment

   Scripts\Activate.ps1 # for powershell

   Scripts\Activate.bat # for cmd

4. Install dependencies from requirements.txt

   pip install -r requirements.txt

5. Run the app

   python image_viewer.py 

Architecture Block Diagram (OUTDATED)