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Real-Time Visible-Infrared Image Fusion using Multi-Guided Filter
( Woojin Jeong ),( Bok Gyu Han ),( Hyeon Seok Yang ),( Young Shik Moon ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.6
Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of 320 × 270. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.
Woojin Jeong,Jaeyoon Lee,Dongweon Yoon IEEE 2011 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY Vol.60 No.4
<P>This paper provides a new, exact, and general expression involving 1-D and 2-D Q-functions for the bit error probability of <I>M</I>-ary phase-shift keying (MPSK) under additive white Gaussian noise (AWGN) and fading channels when Gray code bit mapping is employed. Regular patterns in the error probability expression of the <I>k</I>th bit are observed while developing the bit error rate (BER) expression. From these patterns, we then derive a new BER expression for the MPSK constellation.</P>
Peptide-conjugated Gold Nanoparticle for the Norovirus Detection by Lateral Flow Assay
Woojin JEONG,Taeyeong YOU,Sun Min KIM,Tae-Joon JEON 한국생물공학회 2021 한국생물공학회 학술대회 Vol.2021 No.10
Currently, virus detection is the most rapidly emerging market in the field of in vitro diagnostics. Norovirus, foodborne illnesses all over the world, is an infectious virus that causes acute gastroenteritis and is accompanied by various symptoms. Infection through food is not visible, so in vitro diagnosis is considered very necessary. Point-of-care testing is the effective and rapid diagnosis of a particular molecule in vitro. Several studies have been conducted as Lateral flow assay (LFA) fits the WHO’s standard of ASSURED (affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free, deliverable) criteria among paper-based in vitro diagnostics (lateral flow assays, dipsticks, microfluidic paper-based analytical devices; μPAD, etc.). Traditional LFAs typically rely on antibody-based immunization, which requires a lot of cost and multiple processes due to the preprocessing process. Thus, peptides obtained from the evolutionary phase display can be a great alternative to antibodies. In this study, results were confirmed in LFA by synthesizing peptides binding norovirus and gold nanoparticles that are easy to observe in visible color. We have confirmed that visual detection is possible in very small amounts, 107 particles/ml. These results demonstrate the availability of peptides as alternatives to antibodies in existing LFA and effectively present economical and easy usability. Furthermore, simple changes in peptide sequences can be effectively detected for various targets.