quantumvision 0.1.0

Quantum-Inspired Computer Vision Framework (Edge Detection, Contrast Enhancement)

QuantumVision

Quantum-Inspired Computer Vision Framework
Version 0.1.0

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Overview

QuantumVision is a Python research library that bridges quantum mechanics and classical computer vision.
It models image pixels as quantum states with amplitude and phase components, enabling quantum-inspired operations such as interference-based edge detection and fidelity-driven contrast enhancement.

This framework demonstrates how physical analogies—phase interference, coherence, and fidelity—can yield interpretable nonlinear transformations for visual perception and image analysis.

Currently implemented modules:

1. qedge — Quantum-Inspired Edge Detection
2. qcontrast — Quantum State Contrast Enhancement

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Key Features

Module	Function	Quantum Analogy	Outcome
qedge	qedge_detect()	Phase interference (sin²(Δθ))	Enhanced edge localization without convolution kernels
qcontrast	qcontrast_enhance()	Quantum state fidelity (ψ·ψ̄)	Nonlinear brightness amplification preserving global luminance

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Installation

From PyPI:

pip install quantumvision

Once installed, you can import and use the core functions:

from quantumvision import qedge_detect, qcontrast_enhance


## Scientific Motivation  

Traditional computer vision algorithms (e.g., Sobel, Laplacian) are based on linear spatial derivatives.  
In contrast, **QuantumVision** introduces a *nonlinear, phase-based formalism* inspired by quantum mechanics, where intensity variations are treated as phase differences in probability amplitudes.  

This yields algorithms that are:
- More robust to illumination and contrast changes,  
- Mathematically grounded in wave interference,  
- Intuitively interpretable as “quantum probability fields.”

## License  
MIT © 2025 Shambhavi Prasad

## Contact  
Author: Shambhavi Prasad  
Email: [e-mail]  
GitHub: https://github.com/Shambhavi2112