• Title/Summary/Keyword: image synthesis

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Scalable Coding of Depth Images with Synthesis-Guided Edge Detection

  • Zhao, Lijun;Wang, Anhong;Zeng, Bing;Jin, Jian
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.10
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    • pp.4108-4125
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    • 2015
  • This paper presents a scalable coding method for depth images by considering the quality of synthesized images in virtual views. First, we design a new edge detection algorithm that is based on calculating the depth difference between two neighboring pixels within the depth map. By choosing different thresholds, this algorithm generates a scalable bit stream that puts larger depth differences in front, followed by smaller depth differences. A scalable scheme is also designed for coding depth pixels through a layered sampling structure. At the receiver side, the full-resolution depth image is reconstructed from the received bits by solving a partial-differential-equation (PDE). Experimental results show that the proposed method improves the rate-distortion performance of synthesized images at virtual views and achieves better visual quality.

Synthesis and Analysis of Optical Transfer Function of the Modified Triangular Interferometer by Two - pupil Synthesis Method

  • Kim, Soo-Gil
    • Journal of the Optical Society of Korea
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    • v.8 no.4
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    • pp.182-187
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    • 2004
  • We synthesized and analyzed the optical transfer function(OTF) of the modified triangular interferometer (MTI) using two-pupil synthesis method. Also, we presented the optimal MTI, which can obtain any bipolar function by combining two wave plates and a linear polarizer. By using the proposed MTI, we can obtain the complex hologram without bias and conjugate image.

Research and Development of Image Synthesis Model Based on Emotion for the Mobile Environment (모바일 환경에서 감성을 기반으로 한 영상 합성 기법 연구 및 개발)

  • Sim, SeungMin;Lee, JiYeon;Yoon, YongIk
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.11
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    • pp.51-58
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    • 2013
  • Camera performance of smartphone recently has been developed as much as the digital camera. Interest in applications As a result, many people take pictures and the number of people who are interested in application according to photos has been steadily increasing. However, there are only synthesis programs which are arraying some photos, overlapping multiple images. The model proposed in this paper, base on the emotion that is extracted from the facial expressions by combining the background and applying effects filters. And it can be also utilized in various fields more than any other synthesis programs.

A study of Paul Klee's by of Bernard Cocula (꼬뀔라의 의미분석망에 의한 폴 클레의 "매직 스퀘어" 연구)

  • Lyu Jea-Gil
    • Journal of Science of Art and Design
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    • v.1
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    • pp.63-93
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    • 1999
  • This treatise begins with finding a meaning of Paul Klee's . It is pretty simpleto choose the square of Klee. The most important formative language for twenty century is abstraction. The element of speaking for abstraction issquare. The artists are trying to contain the nature and universe in the square. The role of magic square consisting with small squares of Klee is crystallized. The other side, the test of this study is a method analysis. The method analysis is changing while concept and style have been changing according to a period. The existing method analysis is an iconology used many times in Art history. This treatise introduces France symbolists, Bernard Cocula and Claude Peyroutet's analysis of a meaning of image(Semantique do l'image) who were applied to Modern Art. based on Iconography. It also applies to analysis of artwork of Klee. Cocula's is developed from one phase to five phase step by step. The first phase deals with an appearance of artwork. Subsequently, the second phase is directly adjacent to personal feeling and impression. This is an adequate method for image study in the analysis of modern arts. This phase makes it a rule to enjoy talking with artworks above all. The third phase begins with this question 'What do you see? (que voyons-nous?).' The applies exhaustively and strictly to complicated image artworks which need an elaborate analysis. It is very hard but audiences must try to maintain neutrality in front of artwork because cord formation and interpretation should be formed objectively. The meaning analysis and interpretation of the forth phase begins with this question 'what is the image rouse'(qu'evoque cote image?).' This phase is the most important in a process of symbolic analysis. The audience investigates personal elements and common elements. The fifth is synthetic analysis and interpretation phase. The synthesis is last phase and it reaches a valuation and a conclusion. Namely, the synthesis phase makes up synthesis conclusion, summarizes image character, and completes value adjudication. Sometimes it completes no conclusions in a silence. This study found a new possible analysis example from Paul Klee's work. The study emphasizes square analysis and interpretation and uses . The analysis of artwork by Cocula's is an example of the most important work of Klee's three artworks. The first analysis of artwork is and the second one is . The third one is . In these analyses, Klee usedmagic square 'to make natural pictorial element and to explain organic living things.'

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Image Synthesis and Multiview Image Generation using Control of Layer-based Depth Image (레이어 기반의 깊이영상 조절을 이용한 영상 합성 및 다시점 영상 생성)

  • Seo, Young-Ho;Yang, Jung-Mo;Kim, Dong-Wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.8
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    • pp.1704-1713
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    • 2011
  • This paper proposes a method to generate multiview images which use a synthesized image consisting of layered objects. The camera system which consists of a depth camera and a RGB camera is used in capturing objects and extracts 3-dimensional information. Considering the position and distance of the synthesizing image, the objects are synthesized into a layered image. The synthesized image is spaned to multiview images by using multiview generation tools. In this paper, we synthesized two images which consist of objects and human and the multiview images which have 37 view points were generated by using the synthesized images.

Fast Content Adaptive Interpolation Algorithm Using One-Dimensional Patch-Based Learning (일차원 패치 학습을 이용한 고속 내용 기반 보간 기법)

  • Kang, Young-Uk;Jeong, Shin-Cheol;Song, Byung-Cheol
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.48 no.1
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    • pp.54-63
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    • 2011
  • This paper proposes a fast learning-based interpolation algorithm to up-scale an input low-resolution image into a high-resolution image. In conventional learning-based super-resolution, a certain relationship between low-resolution and high-resolution images is learned from various training images and a specific high frequency synthesis information is derived. And then, an arbitrary low resolution image can be super-resolved using the high frequency synthesis information. However, such super-resolution algorithms require heavy memory space to store huge synthesis information as well as significant computation due to two-dimensional matching process. In order to mitigate this problem, this paper presents one-dimensional patch-based learning and synthesis. So, we can noticeably reduce memory cost and computational complexity. Simulation results show that the proposed algorithm provides higher PSNR and SSIM of about 0.7dB and 0.01 on average, respectively than conventional bicubic interpolation algorithm.

A Study on Image Representation of Digital Synthesis Methodology (디지털 합성을 통한 이미지 표현 연구)

  • Chang, Wook-Sang;Park, Youn-Seul
    • Cartoon and Animation Studies
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    • s.49
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    • pp.203-220
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    • 2017
  • In the field of visual arts, the introduction of synthesis allowed us to express various expressions that were outside the constraints of time and space. Digital synthesis is constrained by realistic representation due to technical limitations. However, it is no exaggeration to say that after digital synthesis has been fully established, at least the limits of image representation through synthesis have almost disappeared. The existing research papers on composing are either technical studies on the production techniques, or the synthesis was mainly focused on the change of the space-time concept and meaning of the visual arts. I felt the need for research on. In addition, I felt the need to look back on the changes in my view of art. Therefore, in this paper, rather than dealing with the conceptual theory of the technical part or spatio-temporal extension, it is necessary to classify it as natural, heterogeneous, heterogeneous and natural according to the traits revealed in the artistic expression of art, And diversity.

Synthesis method of elemental images from Kinect images for space 3D image (공간 3D 영상디스플레이를 위한 Kinect 영상의 요소 영상 변환방법)

  • Ryu, Tae-Kyung;Hong, Seok-Min;Kim, Kyoung-Won;Lee, Byung-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.162-163
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    • 2012
  • In this paper, we propose a synthesis method of elemental images from Kinect images for 3D integral imaging display. Since RGB images and depth image obtained from Kinect are not able to display 3D images in integral imaging system, we need transform the elemental images in integral imaging display. To do so, we synthesize the elemental images based on the geometric optics mapping from the depth plane images obtained from RGB image and depth image. To show the usefulness of the proposed system, we carry out the preliminary experiments using the two person object and present the experimental results.

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A Study on the YCbCr Color Model and the Rough Set for a Robust Face Detection Algorithm (강건한 얼굴 검출 알고리즘을 위한 YCbCr 컬러 모델과 러프 집합 연구)

  • Byun, Oh-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.7
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    • pp.117-125
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    • 2011
  • In this paper, it was segmented the face color distribution using YCbCr color model, which is one of the feature-based methods, and preprocessing stage was to be insensitive to the sensitivity for light which is one of the disadvantages for the feature-based methods by the quantization. In addition, it has raised the accuracy of image synthesis with characteristics which is selected the object of the most same image as the shape of pattern using rough set. In this paper, the detection rates of the proposed face detection algorithm was confirmed to be better about 2~3% than the conventional algorithms regardless of the size and direction on the various faces by simulation.