Combination of images with diverse focuses using the spatial frequency

Information Fusion, 2001

325 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/839fc50e5199a74688144dcfaf198c2f18c5f0ef

Citations in the corpus

• Evaluation of focus measures in multi-focus image fusion (2007, unknown): “In literatures (Li et al., 2001, 2002), Li et al. introduced a new method based on the selection of image blocks from source images.”
• Image Fusion With Convolutional Sparse Representation (2016, unknown): “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].”
• Multi-focus image fusion with a deep convolutional neural network (2017, unknown): “…verification approaches used in image fusion methods are usually based on various image filtering techniques, including majority filtering [4,18,19] , median filtering [26] , morphological filtering [22] , small region filtering [22,29] , edge-preserving filtering (e.g., bilateral filtering [66]…”
• Multifocus image fusion using region segmentation and spatial frequency (2008, unknown): “The human visual system is too complex to be fully understood with present physiological means, but the use of spatial frequency has led to an effective objective quality index for image fusion [24] .”
• Image matting for fusion of multi-focus images in dynamic scenes (2013, unknown): “the fusion decision maps of IG (k), RGSF (l), MM (m), proposed method (m), and referen image gradient (IG) [17], region segmentation and spatial frequency (RGSF) [19] and mathematic morphology (MM) [26].”
• A wavelet-based image fusion tutorial (2004, unknown): “We have also implemented the following activity-level measurement methods: CBA, WBA, RF-WBA, SF-WBA, ST-WBA and RBA.”
• Multifocus Image Fusion and Restoration With Sparse Representation (2010, unknown): “However, the blockbased fusion methods usually suffer from blockness in the fused image [11].”