OptiKlear

OptiKlear is a Python library for mathematical operations and digital image processing.

It provides reusable functions for vector operations, matrix-vector transformations, image transformations, noise generation and spatial filtering.

Features

Current functionality includes:

• Convolution: Spatial convolution for image filtering.
• Nonlinear filtering: Median filtering.
• Noise generation: Uniform, Gaussian and salt-and-pepper noise.
• Geometric transformations: Scaling, rotation, shearing, flipping and translation.
• Matrix-vector operations: Matrix multiplication and 2D vector transformations.
• Vector operations: Vector addition, subtraction, magnitude, distance, dot product, cross product and rotation.

Installation

Install OptiKlear using pip:

pip install optiklear

Note: OptiKlear is currently under development. The package will be available on PyPI following its initial release.

Requirements

• Python 3.10 or later
• NumPy

Package Structure

Usage

Import individual functions from their respective modules.

For example, to use vector operations:

from optiklear.vec_operations import vec_add2D, mag_v2D

u = [3, 4]
v = [2, 5]

result = vec_add2D(u, v)
magnitude = mag_v2D(u)

print(result)
print(magnitude)

To use image noise generation:

from optiklear.noise_gen import gauss_noise

noisy_image = gauss_noise(image, 9)

The image-processing functions currently use NumPy arrays and/or Python lists according to their individual implementations. Check each function's input requirements before use.

Development Roadmap

Planned additions for future versions include:

• Point operations
• Edge detection