Multi-Focus Image Fusion (MFIF) is a promising image enhancement technique to generate all-in-focus images meeting visual needs, and it precondition for other computer vision tasks. One emergent research trend in MFIF involves approaches avoiding defocus spread effect (DSE) around focus/defocus boundary (FDB). This study proposes generative adversarial network tasks called MFIF-GAN, attenuate t...

Abstract The Beam Delivery System (BDS) is a critical component of high-energy linear collider. It transports the beam from accelerator and brings it to focus at Interaction Point. BDS system includes diagnostic sections for measuring energy, emittance, polarization, as well collimators machine protection. length increases with collision energy. Higher energies also require higher luminosities,...

Objective(s): A novel IQ-SPECTTM method has become widely used in clinical studies. The present study compares the quality of myocardial perfusion images (MPI) acquired using the IQ-SPECTTM (IQ-mode),conventional (180° apart: C-mode) and L-mode (90° apart: L-mode) systems. We assessed spatial resolution, image reproducibility and quantifiability using various physical phantoms. Materials and Me...

Interactive Visual Data Exploration: A Multi-Focus Approach Jian Zhao Doctor of Philosophy Graduate Department of Computer Science University of Toronto 2015 Recently, the amount of digital information available in the world has been growing at a tremendous rate. This huge, heterogeneous, and complicated data that we are continuously generating could be an incredible resource for us to seek ins...

In order to effectively extract the focused regions from the source images and inhibit the blocking artifacts of the fused image, a novel adaptive block-based image fusion scheme based on sparse features is proposed. The source images are decomposed into principal and sparse matrices by a newly developed robust principal component analysis (RPCA) decomposition. The problem of multi-focus image ...

We are interested in a game-theoretic approach to proving satisfiability of LTL formulæ. We consider for this LTL formulæ in negative normal form, i.e. using the abstract syntax ' ::= p ∣ ¬p ∣ ' ∨ ' ∣ ' ∧ ' ∣ X' ∣ ' U ' ∣ ' R ' , where p ranges over a non-empty finite set of atomic propositions AP. Let ⊤ ≡ p ∨ ¬p and ⊥ ≡ p ∧ ¬p for some atomic proposition p. The F and G modalities are defined a...

The main objective of image fusion is to combine information from more than one image of the same scene. The resulting image is more suitable for human as well as machine perception or further image-processing tasks as image segmentation, object recognition and feature extraction. In this paper, principal component analysis based and average pixel level base approach is proposed for pixel level...

We propose a multi-focus image fusion method. The energy of Laplacian of input images is obtained to decide which portions of the input images are in better focus, and the majority filter offers a means of spreading the focused regions to neighborhood. The edge-preserving guided image filter is applied to reduce the block effect. We conduct several experiments which demonstrate that it provided...

Work on multiscale issues presents countless challenges that have been long attacked by GIScience researchers. Most results either concentrate on modeling or on data structures/database aspects. Solutions go either towards generalization (and/or virtualization of distinct scales) or towards linking entities of interest across scales. However, researchers seldom take into account the fact that m...