Fusion of multi-exposure images

By A. Goshtasby. Image and Vision Computing, 2005

339 citations recorded by the source corpus.

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Multifocus image fusion using region segmentation and spatial frequency (2008, background): “Keywords: Image fusion; Image segmentation; Normalized cuts; Multi-focus; Digital cameras”
Perceptual Quality Assessment for Multi-Exposure Image Fusion (2015, background): “Goshtasby [4] partitioned each source image into several non-overlapping blocks and selected the block with the highest entropy to construct the”
Image Fusion With Convolutional Sparse Representation (2016, background): “to fusion tasks in which the source images are obtained from the same type of sensors, such as multifocus fusion [3], [5]–[7], [10] and multiexposure fusion [4], [8], [9].”
DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs (2017, background): “[5] take non-overlapping blocks with highest information from each image to obtain the fused result.”
SDNet: A Versatile Squeeze-and-Decomposition Network for Real-Time Image Fusion (2021, background): “Second, the weight function in Goshtasby (2005) is based on the information entropy, which is not robust to noise.”
Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach (2017, background): “Digital Object Identifier 10.1109/TIP.2017.2671921 images with little ghosting artifacts for dynamic scenes.”