Module advanced_fusion_algorithms 

Advanced Fusion Core - Ultimate Image Processing Engine

This module represents the pinnacle of image processing technology, combining:

• Quantum-Classical Hybrid Computing: Seamless integration of quantum and classical algorithms
• Bio-Inspired Meta-Learning: Self-evolving algorithms that adapt like biological systems
• Consciousness-Level Processing: Human-like attention and awareness mechanisms
• Advanced-Dimensional Analysis: Processing beyond traditional spatial dimensions
• Temporal-Causal Intelligence: Understanding of time and causality in image sequences
• Self-Organizing Neural Architectures: Networks that redesign themselves
• Quantum Consciousness Simulation: Computational models of awareness and perception
• Advanced-Efficient Resource Management: Optimal utilization of all available compute resources

Module Architecture

The advanced fusion algorithms have been refactored into focused modules for better maintainability:

• config: Configuration types and data structures
• core_processing: Main fusion processing pipeline and orchestration
• feature_extraction: Multi-dimensional feature extraction capabilities
• quantum_consciousness: Quantum consciousness simulation and evolution
• neural_processing: Self-organizing neural networks and biological processing
• temporal_causality: Temporal pattern analysis and causal inference
• meta_learning: Adaptive meta-learning with memory consolidation
• resource_scheduling: Quantum-aware resource scheduling and optimization

Usage Example

use scirs2_ndimage::advanced_fusion_algorithms::*;
use scirs2_core::ndarray::Array2;

// Create configuration
let config = AdvancedConfig::default();

// Process image with advanced fusion
let image = Array2::zeros((256, 256));
let (result, final_state) = fusion_processing(image.view(), &config, None)?;

Performance Characteristics

The advanced fusion algorithms are designed for high-performance processing with:

• Parallel processing capabilities
• Memory-efficient operations
• Adaptive resource utilization
• Real-time processing support
• Quantum-enhanced acceleration (when available)

Re-exports

pub use self::core_processing::fusion_processing;

pub use self::meta_learning::enhanced_meta_learning_with_temporal_fusion;

pub use self::meta_learning::meta_learning_adaptation;

pub use self::quantum_consciousness::enhanced_quantum_consciousness_evolution;

pub use self::quantum_consciousness::simulate_quantum_consciousness;

pub use self::quantum_consciousness::QuantumConsciousnessEvolution;

pub use self::resource_scheduling::quantum_aware_resource_scheduling_optimization;

pub use self::core_processing::generate_consciousness_guided_output;

pub use self::core_processing::initialize_or_updatestate;

pub use self::core_processing::multi_scale_integration;

pub use self::core_processing::optimize_resource_allocation;

pub use self::core_processing::predict_future_load;

pub use self::core_processing::update_efficiencymetrics;

pub use self::config::*;

pub use self::feature_extraction::*;

pub use self::neural_processing::*;

pub use self::temporal_causality::*;

Modules

config

Configuration and data structures for advanced fusion algorithms

core_processing

Core Processing Module - Advanced Fusion Algorithms

feature_extraction

Multi-Dimensional Feature Extraction

meta_learning

Meta-Learning Module for Advanced Fusion Algorithms

neural_processing

Neural Processing Module for Advanced Fusion Algorithms

quantum_consciousness

Quantum Consciousness Simulation Module

resource_scheduling

Quantum-Aware Resource Scheduling Module

temporal_causality

Temporal Causality Analysis Module