Image Fusion and Re-Modified SPIHT for Fused Image

TL;DR

This paper introduces a modified SPIHT-based image fusion technique using wavelet coefficients scaling to improve fused image quality by reducing mean squared error.

Contribution

It proposes a novel re-modified SPIHT algorithm that scales wavelet coefficients based on sub band importance for better image fusion results.

Findings

Enhanced image fusion quality demonstrated by reduced MSE.

Effective preservation of perceptually important features.

Improved coding efficiency in fused images.

Abstract

This paper presents the Discrete Wavelet based fusion techniques for combining perceptually important image features. SPIHT (Set Partitioning in Hierarchical Trees) algorithm is an efficient method for lossy and lossless coding of fused image. This paper presents some modifications on the SPIHT algorithm. It is based on the idea of insignificant correlation of wavelet coefficient among the medium and high frequency sub bands. In RE-MSPIHT algorithm, wavelet coefficients are scaled prior to SPIHT coding based on the sub band importance, with the goal of minimizing the MSE.