Multi-focus Image Fusion for Visual Sensor Networks

TL;DR

This paper proposes an efficient DCT domain algorithm for multi-focus image fusion in visual sensor networks, improving image quality with reduced complexity and processing time.

Contribution

It introduces a novel DCT-based fusion method using SML as a contrast criterion, enhancing image quality over existing techniques.

Findings

Improved subjective and objective image quality.

Reduced computational complexity and processing time.

Outperforms other DCT-based fusion methods.

Abstract

Image fusion in visual sensor networks (VSNs) aims to combine information from multiple images of the same scene in order to transform a single image with more information. Image fusion methods based on discrete cosine transform (DCT) are less complex and time-saving in DCT based standards of image and video which makes them more suitable for VSN applications. In this paper, an efficient algorithm for the fusion of multi-focus images in the DCT domain is proposed. The Sum of modified laplacian (SML) of corresponding blocks of source images is used as a contrast criterion and blocks with the larger value of SML are absorbed to output images. The experimental results on several images show the improvement of the proposed algorithm in terms of both subjective and objective quality of fused image relative to other DCT based techniques.