VOL and EOL-Based Multi-Focus Image Fusion in the DCT Field

Among the most significant areas of computational image processing research is multi-focus picture fusion, particularly in the DCT domain. It is used to create a single image from focused regions and significant details of input multi-focus photos. This technique is particularly effective in JPEG images. Researchers often focus on focus measurement computations and direct DCT fusion methods. However, previous DCT works made mistakes in choosing appropriate divided blocks. This article presents a reliable image fusion technique that can fuse multiple damaged input pictures into one crisp output picture, providing more detailed information about the combined input pictures. The Laplacian variance (VOL) and energy (EOL) criteria are used to gauge picture contrast, reducing penalties caused by incorrect choice of blocks. By contrasting the results of the suggested algorithms with the output from earlier algorithms, the output image quality of the suggested techniques is demonstrated.