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Multi-focus image fusion using adaptive patch rendering anisotropic diffusion filter.

Sandhya Tatekalva1, G Tirumala Vasu2, Samreen Fiza3

  • 1Department of Computer Science, SVU College of CM & CS, S. V. University, Tirupati, 517502, India.

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|May 21, 2025
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Summary

A new Adaptive Patch Rendering Anisotropic Diffusion Filter (APRADF) improves multi-focus image fusion (MFIF). This method effectively merges focused regions from multiple images, overcoming limitations of conventional techniques for clearer composite images.

Keywords:
Adaptive patch rendering anisotropic diffusion filterBase layerDetail layerImage decompositionImage fusion quality metricsMulti-focus image fusion

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Area of Science:

  • Computer Vision
  • Image Processing

Background:

  • Conventional multi-focus image fusion (MFIF) methods struggle with edge information diffusion, leading to visual distortion and artifacts.
  • Challenges include spatially inconsistent structures and ghosting in fused images.

Purpose of the Study:

  • To introduce an Adaptive Patch Rendering Anisotropic Diffusion Filter (APRADF) to enhance MFIF.
  • To address limitations of existing methods in preserving edge information and reducing artifacts.

Main Methods:

  • Source images are decomposed into base and detail layers to capture intensity variations.
  • Focus and blur patches are analyzed to detect edge diffusion.
  • The APRADF is applied to weight maps, base, and detail layers for fusion.

Main Results:

  • The proposed APRADF method demonstrates superior performance in multi-focus image fusion.
  • Both qualitative and quantitative analyses confirm its effectiveness over state-of-the-art algorithms.
  • The fusion process successfully preserves edge information and minimizes visual artifacts.

Conclusions:

  • The APRADF offers a robust solution for multi-focus image fusion.
  • It significantly improves the quality of fused images compared to existing techniques.
  • This method enhances the precision and clarity of composite images for all objects.