The letter addresses the image fusion problem, where multiple images captured with
different focus distances are to be combined into a higher quality all-in-focus image. Most …

The image fusion problem consists in combining complementary parts of multiple images
captured, for example, with different focal settings into one image of higher quality. This …

In this letter, we present a generic and computationally efficient method for coupled
dictionary learning (CDL). The proposed method enforces relations between the …

Infrared and visible image fusion refers to the technology that merges the visual details of
visible images and thermal feature information of infrared images; it has been extensively …

In this letter, we propose a novel computationally efficient coupled dictionary learning
method that enforces pairwise correlation between the atoms of dictionaries learned to …

This paper presents a sparse representation (SR)-based multi-focus image fusion by
combining nonsubsampled contourlet transform (NSCT) and discrete wavelet transform …

This paper introduces the Adaptive Region Division Multi-Focus Fusion (RDMF) algorithm to
mitigate issues caused by the defocus spread effect. RDMF combines image gradient …

In this work, a quality estimation based multi-focus image fusion method (QEBIF) is
proposed. In this method, the all-in-focus image is generated by pixel-wise summarizing the …

We address the multi-focus image fusion problem, where multiple images captured with
different focal settings are to be fused into an all-in-focus image of higher quality. Algorithms …

In this work, a fast Bilateral Solver for Quality Estimation Based multi-focus Image Fusion
method (BS-QEBIF) is proposed. The all-in-focus image is generated by pixel-wise summing …