Image Fusion with Guided Filtering: Decomposition-Based Enhancement Approach
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Resource Overview
Decomposes images into base and detail layers, then applies an innovative filtering technique for significantly improved fusion results with enhanced efficiency through optimized algorithmic implementation.
Detailed Documentation
This paper presents a novel image processing methodology where images are decomposed into base layers (containing large-scale illumination) and detail layers (preserving texture information). The core implementation utilizes guided filtering algorithms to fuse these layers, achieving more pronounced visual enhancement with computational efficiency. Key technical aspects include: 1) Layer separation through weighted least squares optimization, 2) Adaptive fusion using edge-aware filtering kernels, and 3) Multi-scale blending with regularization parameters. This advanced approach enables superior image processing outcomes with optimized visual quality through structured layer manipulation and intelligent fusion operations.
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