High-quality image multi-focus fusion to address ringing and blurring artifacts without loss of information

摘要

Abstract For many multi-focus image fusion methods, fused image visual and quantitative analysis is a challenging problem because of the presence of ringing and blurring artifacts. A high-quality image fusion framework to overcome the challenges of ringing and blurring artifacts in multi-focus image fusion while preserving the input image regions in the fused image proposed. The modified guided filtering proposed is called novel information preservation-based guided filtering (IPGF). Each input image has been decomposed, using IPGF, into a detail image (small-scale details) and base image (large-scale intensity variations) using the edge detection operator (EDO). The EDO has been used to generate the guidance image to overcome the loss of detail parts and smooth tiny details. Low-rank representation (LRR) was used to estimate the focus map and generate the detail parts fusion. The inherent property of removing artifacts using LRR helps to generate artifact-free detail image fusion. A simple but effective choose max-based fusion has been applied to fuse base images. The addition of base and detail images leads to the initial fusion result. The guided filtering was applied to a focus map, and then the outcome was used to generate the final fused image. Guided filtering is applied to suppress the ringing and blurring effects from the final fused image. The proposed method shows improved performance in terms of statistical, subjective, and objective analysis compared to recent methods.