• Title/Summary/Keyword: Image synthesis

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Face Sketch Synthesis Based on Local and Nonlocal Similarity Regularization

  • Tang, Songze;Zhou, Xuhuan;Zhou, Nan;Sun, Le;Wang, Jin
    • Journal of Information Processing Systems
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    • v.15 no.6
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    • pp.1449-1461
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    • 2019
  • Face sketch synthesis plays an important role in public security and digital entertainment. In this paper, we present a novel face sketch synthesis method via local similarity and nonlocal similarity regularization terms. The local similarity can overcome the technological bottlenecks of the patch representation scheme in traditional learning-based methods. It improves the quality of synthesized sketches by penalizing the dissimilar training patches (thus have very small weights or are discarded). In addition, taking the redundancy of image patches into account, a global nonlocal similarity regularization is employed to restrain the generation of the noise and maintain primitive facial features during the synthesized process. More robust synthesized results can be obtained. Extensive experiments on the public databases validate the generality, effectiveness, and robustness of the proposed algorithm.

Optical Wavelet POfSDF-FSJTC for Scale Invariant Pattern Recognition with Noise (잡음을 갖는 물체의 크기불변인식을 위한 광 웨이브렛 POfSDF-FSJTC)

  • Park Se-Joon;Kim Jong-Yun
    • The Journal of the Korea Contents Association
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    • v.4 no.4
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    • pp.205-213
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    • 2004
  • In this paper, we proposed a wavelet phase-only filter modulation synthetic discriminant function joint transform correlator(WPOfSDF-JTC) for scale invariant pattern recognition, and an improved algorithm to reduce the filter synthesis time. Computer simulation showed that the proposed filter has better SNR than CWMF if input image has random noise and the improved synthesis algorithm can reduce the iteration time. We used frequency selective JTC to solve the problem of the optical alignment and eliminate the autocorrelation and crosscorrelation between each input image.

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Study on the Video Stabilizer based on a Triplet CNN and Training Dataset Synthesis (Triplet CNN과 학습 데이터 합성 기반 비디오 안정화기 연구)

  • Yang, Byongho;Lee, Myeong-jin
    • Journal of Broadcast Engineering
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    • v.25 no.3
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    • pp.428-438
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    • 2020
  • The jitter in the digital videos lowers the visibility and degrades the efficiency of image processing and image compressing. In this paper, we propose a video stabilizer architecture based on triplet CNN and a method of synthesizing training datasets based on video synthesis. Compared with a conventional deep-learning video stabilization method, the proposed video stabilizer can reduce wobbling distortion.

A Convenient One-Pot Biginelli Reaction Catalyzed by Y(OAc)3: An Improved Protocol for the Synthesis of 3,4-Dihydropyrimidin-2(1H)-ones and Their Sulfur Analogues

  • Aridoss, Gopalakrishnan;Jeong, Yeon-Tae
    • Bulletin of the Korean Chemical Society
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    • v.31 no.4
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    • pp.863-868
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    • 2010
  • Yttrium(III) acetate hydrate-catalyzed novel synthesis of 3,4-dihydropyrimidin-2(1H)-(thio)one derivatives was achieved through one-pot three-component condensation of diversified aldehydes, $\beta$-ketoesters and urea or N-methylurea or thiourea with a molar ratio of 1:1:1.4. In comparison to the classical Biginelli approach, this catalytic method has the advantages of short reaction time and improved product yield.

IMAGE SYNTHESIS FOR DYNAMIC SCENES

  • Feng, Chen-Chin;Chang, Su-Yuan;Yang, Shi-Nine
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1999.06a
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    • pp.15.1-21
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    • 1999
  • Radiosity method is a global illumination model for image synthesis. It computes all energy interactions among diffuse elements in a virtual environment. One of the major drawbacks if its time consuming computation. Existing radiosity algorithms for static scene is difficult to be applicable to dynamic environments. In this paper we proposed an hierarchical scene partition scheme to speedup the link update computations in the dynamic environments. Since the proposed spatial data structure is global, it not only can be used to speedup the culling of non-affected links after geometry change, but also can be used to accelerate the subsequent visibility computation. Several empirical tests are given to show the efficiency of our improved algorithm.

Numerical Feasibility Study for a Spaceborne Cooler Dual-function Energy Harvesting System

  • Kwon, Seong-Cheol;Oh, Hyun-Ung
    • International Journal of Aeronautical and Space Sciences
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    • v.18 no.3
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    • pp.579-587
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    • 2017
  • Spaceborne cryocoolers produce undesirable micro-vibration disturbances during their on-orbit operation, which are a primary source of image-quality degradation for high-resolution observation satellites. Therefore, to comply with the strict mission requirement of high-quality image acquisition, micro-vibration disturbances induced by cooler operation have always been subjected to an isolation objective. However, in this study, we focused on the applicability of energy harvesting technology to generate electrical energy from micro-vibration energy of the cooler and investigated the feasibility of utilizing harvested energy as a power source to operate low-power-consumption devices such as micro-electromechanical system (MEMS) devices. A tuned mass damper (TMD)-type electromagnetic energy harvester combined with a conventional passive vibration isolator was proposed to achieve this objective. The system performs the dual functions of electrical energy generation and micro-vibration isolation. The effectiveness of the strategy was evaluated through numerical simulations.

Multi-view Synthesis Algorithm for the Better Efficiency of Codec (부복호화기 효율을 고려한 다시점 영상 합성 기법)

  • Choi, In-kyu;Cheong, Won-sik;Lee, Gwangsoon;Yoo, Jisang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.2
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    • pp.375-384
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    • 2016
  • In this paper, when stereo image, satellite view and corresponding depth maps were used as the input data, we propose a new method that convert these data to data format suitable for compressing, and then by using these format, intermediate view is synthesized. In the transmitter depth maps are merged to a global depth map and satellite view are converted to residual image corresponding hole region as out of frame area and occlusion region. And these images subsampled to reduce a mount of data and stereo image of main view are encoded by HEVC codec and transmitted. In the receiver intermediate views between stereo image and between stereo image and bit-rate are synthesized using decoded global depth map, residual images and stereo image. Through experiments, we confirm good quality of intermediate views synthesized by proposed format subjectively and objectively in comparison to intermediate views synthesized by MVD format versus total bit-rate.

Visible and NIR Image Synthesis Using Laplacian Pyramid and Principal Component Analysis (라플라시안 피라미드와 주성분 분석을 이용한 가시광과 적외선 영상 합성)

  • Son, Dong-Min;Kwon, Hyuk-Ju;Lee, Sung-Hak
    • Journal of Sensor Science and Technology
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    • v.29 no.2
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    • pp.133-140
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    • 2020
  • This study proposes a method of blending visible and near infrared images to enhance edge details and local contrast. The proposed method consists of radiance map generation and color compensation. The radiance map is produced by a Laplacian pyramid and a soft mixing method based on principal component analysis. The color compensation method uses the ratio between the composed radiance map and the luminance channel of a visible image to preserve the visible image chrominance. The proposed method has better edge details compared to a conventional visible and NIR image blending method.

USER BASED IMAGE SEGMENTATION FOR APPLICATION TO SATELLITE IMAGE

  • Im, Hyuk-Soon;Park, Sang-Sung;Shin, Young-Geun;Jang, Dong-Sik
    • Proceedings of the KSRS Conference
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    • 2008.10a
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    • pp.126-129
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    • 2008
  • In this paper, we proposed a method extracting an object from background of the satellite image. The image segmentation techniques have been widely studied for the technology to segment image and to synthesis segment object with other images. Proposed algorithm is to perform the edge detection of a selected object using genetic algorithm. We segment region of object based on detection edge using watershed algorithm. We separated background and object in indefinite region using gradual region merge from segment object. And, we make GUI for the application of the proposed algorithm to various tests. To demonstrate the effectiveness of the proposed method, several analysis on the satellite images are performed.

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A Novel Image Completion Algorithm Based on Planar Features

  • Xiao, Mang;Liu, Yunxiang;Xie, Li;Chen, Qiaochuan;Li, Guangyao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.8
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    • pp.3842-3855
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    • 2018
  • A novel image completion method is proposed that uses the advantage of planar structural information to fill corrupted portions of an image. First, in estimating parameters of the projection plane, the image is divided into several planes, and their planar structural information is analyzed. Second, in calculating the a priori probability of patch and patch offset regularity, this information is converted into a constraint condition to guide the process of filling the hole. Experimental results show that the proposed algorithm is fast and effective, and ensures the structure continuity of the damaged region and smoothness of the texture.