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LuxFilter Technical Documentation

Overview

LuxFilter is a modular filtering system designed for processing and scoring digital assets efficiently. It integrates with the Luxoria ecosystem and provides a pipeline-based approach to apply filtering algorithms to image data.

Features

  • Modular filtering pipeline with weighted algorithms

  • Event-driven architecture for processing notifications

  • Parallelized execution for optimized performance

  • Error handling for robust processing

Architecture

Core Components

LuxFilter Module

  • Implements IModule

  • Handles initialization, execution, and shutdown

  • Provides logging for module actions

PipelineService

  • Manages the execution of filtering algorithms

  • Tracks progress and scores

  • Uses concurrency for efficiency

IFilterAlgorithm

  • Defines a standard interface for filtering algorithms

  • Implements a scoring method based on image analysis

Implemented Filtering Algorithms

Image Quality Algorithms

  • ResolutionAlgo: Evaluates the resolution of an image.

  • SharpnessAlgo: Measures the sharpness level in an image.

Perceptual Metrics Algorithms

  • BrisqueAlgo: Uses the BRISQUE metric to assess perceptual quality.

How to Use

Prerequisites

  • Ensure that the Luxoria ecosystem is installed and configured properly.

  • Your project should reference the necessary LuxFilter libraries.

  • Implement and register IEventBus for event-driven interactions.

Installation

  1. Clone or download the LuxFilter module.

  2. Add the project reference in your Luxoria-based application.

  3. Implement IModule interface in your module system.

Running the Module

  1. Initialize the module using Initialize().

  2. Configure the filtering pipeline using AddAlgorithm().

  3. Pass image data through the Compute() function.

Example Usage

var luxFilter = new LuxFilter();
luxFilter.Initialize(eventBus, context, logger);
luxFilter.Execute();

Initialization

public void Initialize(IEventBus eventBus, IModuleContext context, ILoggerService logger)

  • Subscribes to filtering events

  • Initializes logger and context

Filtering Process

1. Pipeline Configuration

  • Uses AddAlgorithm(IFilterAlgorithm algorithm, double weight) to add algorithms

  • Ensures the total weight of all algorithms does not exceed 1.0

2. Image Processing

  • Processes images using Compute(IEnumerable<(Guid, SKBitmap)> bitmaps)

  • Applies each algorithm in the workflow to every image

3. Score Computation

  • Each image receives a final score based on weighted algorithm outputs

  • Results are returned as (Guid, double) tuples

Event Handling

Score Computation Event

public event EventHandler<(Guid, double)> OnScoreComputed;

  • Notifies when an image has been processed and scored

Pipeline Completion Event

public event EventHandler<TimeSpan> OnPipelineFinished;

  • Notifies when the pipeline has finished executing

Error Handling & Logging

  • Uses ILoggerService for structured logs

  • Exception handling ensures robust error reporting

  • Logs execution times for performance analysis

Performance Optimizations

  • Uses parallel processing for scoring

  • Implements concurrent data structures for thread safety

  • Optimized event-driven execution to reduce overhead

Future Enhancements

  • Dynamic algorithm tuning for real-time adjustments

  • Support for additional image formats

  • Graphical visualization of scores

Conclusion

LuxFilter provides a scalable and efficient filtering pipeline for processing images in the Luxoria ecosystem. Its modular design, event-driven execution, and parallel processing capabilities make it an ideal choice for large-scale image scoring and analysis.

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