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Relevant bibliographies by topics / Image Composition

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Academic literature on the topic 'Image Composition'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Image Composition"

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Azadi, Samaneh, Deepak Pathak, Sayna Ebrahimi, and Trevor Darrell. "Compositional GAN: Learning Image-Conditional Binary Composition." International Journal of Computer Vision 128, no. 10-11 (May 28, 2020): 2570–85. http://dx.doi.org/10.1007/s11263-020-01336-9.

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Schetinger, Victor, Massimo Iuliani, Alessandro Piva, and Manuel M. Oliveira. "Image forgery detection confronts image composition." Computers & Graphics 68 (November 2017): 152–63. http://dx.doi.org/10.1016/j.cag.2017.08.014.

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de Jong, A. F., and D. Van Dyck. "Algorithms for Composition Determination from HREM Images of Substitutional Alloys." Proceedings, annual meeting, Electron Microscopy Society of America 48, no. 1 (August 12, 1990): 30–31. http://dx.doi.org/10.1017/s0424820100178902.

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In a substitutional alloy the positions of the lattice sites are fixed, but they may be randomly occupied by two or more different atom types. An example is the semiconductor Alx Ga1-x As, which has the group III sites arranged in columns at a (projected) distance of 0.28 nm when imaged in the [100] direction. The determination of compositions at atomic resolution would enable the study of roughness and interdiffusion at epitaxial interfaces such as GaAs/Alx Ga1-x . With high-resolution electron microscopy (HREM) it is possible to image the different columns, but it is difficult to image differences in composition. One method has been proposed so far to measure compositions from HREM images. We derive a linear relationship between deviations in composition and image contrast, and propose and test two new image processing algorithms to measure compositions in atomic columns.Consider a substitutional alloy with one atomic position occupied by either type A or type B atoms, and assume that the z -dependence of the potential can be disregarded. For the average composition an average potential V0 (dependence on (x,y ) implicit) results in an average electron wavefunction ϕo (z ) at the exit plane of the sample. Locally (e.g. in one atomic column) the composition may deviate from the average by y , causing a small deviation from the average potential of y(VA – VB ). VA and VB are the potentials when the crystal would contain only type A or type B atoms, respectively. The wavefunction can be calculated using perturbation theory, yielding formally to first order:

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Congde Wang, 王从德, 张荣 Rong Zhang, and 邓璠 Fan Deng. "Image composition with color harmonization." Chinese Optics Letters 7, no. 6 (2009): 483–85. http://dx.doi.org/10.3788/col20090706.0483.

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WAN, YANLI, ZHEN TANG, ZHENJIANG MIAO, and BO LI. "IMAGE COMPOSITION WITH COLOR HARMONIZATION." International Journal of Pattern Recognition and Artificial Intelligence 26, no. 03 (May 2012): 1254001. http://dx.doi.org/10.1142/s0218001412540018.

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Image composition is a very important technique in computer generated imagery. Besides some factors such as contrast, texture and noise that affect the quality of the composition, color harmony between fore- and background is also an important factor that would affect the quality of the composition. However, in the previous image composition techniques, color harmony between fore- and background is seldom considered. In this paper, an optimization method is proposed to deal with the color harmonization problem that used in image composition. A cost function is derived from the local smoothness of the hue values, and the image is harmonized by minimizing the cost function. A new matching cost function is proposed to select the best matching harmonic schemes. Our approach overcomes several shortcomings of the existing color harmonization methods. We validate the performance of our method and demonstrate its effectiveness with a variety of experiments.

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Khamraev, Kamiljon Ulmasovich. "STORY COMPOSITION AND EPIC IMAGE." Theoretical & Applied Science 60, no. 04 (April 30, 2018): 305–8. http://dx.doi.org/10.15863/tas.2018.04.60.55.

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Kuznetsova, Polina, Vicente Ordonez, Tamara L. Berg, and Yejin Choi. "TreeTalk: Composition and Compression of Trees for Image Descriptions." Transactions of the Association for Computational Linguistics 2 (December 2014): 351–62. http://dx.doi.org/10.1162/tacl_a_00188.

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We present a new tree based approach to composing expressive image descriptions that makes use of naturally occuring web images with captions. We investigate two related tasks: image caption generalization and generation, where the former is an optional subtask of the latter. The high-level idea of our approach is to harvest expressive phrases (as tree fragments) from existing image descriptions, then to compose a new description by selectively combining the extracted (and optionally pruned) tree fragments. Key algorithmic components are tree composition and compression, both integrating tree structure with sequence structure. Our proposed system attains significantly better performance than previous approaches for both image caption generalization and generation. In addition, our work is the first to show the empirical benefit of automatically generalized captions for composing natural image descriptions.

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Ourmazd, A., P. Schwander, C. Kisielowski, F. H. Baumann, and Y. Kim. "Measuring projected potential, thickness, and composition from lattice images." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 732–33. http://dx.doi.org/10.1017/s0424820100171390.

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Lattice images obtained by Transmission Electron Microscopy (TEM) are routinely used to infer the subsurface microstructure of crystalline materials. In principle, a lattice image is a map of the sample (Coulomb) potential, projected along a zone axis (see, e.g., [1]). In practice, it is difficult to extract quantitative information from lattice images. This stems from two primary reasons. First, electrons are multiply scattered during their passage through crystalline samples of realistic thickness (>10Å). This results in a complex, highly nonlinear relationship between the sample potential and the characteristics of the lattice image. This relationship changes rapidly with the sample thickness, and thus from point to point over the sample. Second, electromagnetic lenses have severe aberrations. The image details thus depend sensitively on the (contrast) transfer function of the microscope, and hence the lens defocus. It is not possible to establish a general relationship between the sample potential and the image features.

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Shemshurenko, Evgenii. "Means of harmonization of composition and optimization of the design of photographic images." Культура и искусство, no. 3 (March 2021): 66–72. http://dx.doi.org/10.7256/2454-0625.2021.3.32960.

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The subject of this research is such a means of harmonization of composition of the image in a plane as the contrast. The article assesses the possibility and factors of using contrast for increasing the attractiveness of the designed photographic image. The author reviews the examples of photo images with appropriate use of contrast; provides the research data on the perception[WU1]  of contrast by human visual system.; explores correlation between contrast and the conditions for a harmonious composition; as well as reviews the connection between the properties of compositional elements of photography and the components of visual perception, discovered by R. Barthes in his work “Camera Lucida”. The author carries out the analysis of photographic images; compares the empirical data on the study of perception of contrast by a human; applies the methods of induction and deduction in analyzing the acquitted results and comparing them with the characteristics of a harmonious composition. The author’s special contribution consists in comparison of the results of empirical research of perception of contrast by a human in the context of dependence of the sensitivity of human visual system on the size of observable alternating contrast lines and the size of the dominant in relation to the image field object of composition. It is proposed to use high contrasts of the elements of detail drawing for reaching harmonization of composition of the designed image elements.  [WU1]

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Hao, Fei, Song Qing Zhu, and Hai Tao Gao. "Gray Image Composition Method for Measurement Based on Multi-Software Cooperation." Advanced Materials Research 889-890 (February 2014): 1052–56. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.1052.

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One method named image synthesis was proposed for gray image composition to meet the requirement that algorithm research of machine vision needed a lot of images. Firstly, two modules, i.e., modeling module and camera module, of some engineering software were compared and images will be obtained by using three-dimensional modeling software cooperating with VRay plug-in. Then, parameter setting and adjustment for VRay plug-in was studied. Lastly, measurement experiments were carried out by using synthetic images. The experimental results demonstrate that 1μm measuring accuracy is possible under the condition that the distance between calibration part and camera was equal to that between parts and camera. The synthetic images can be used for algorithm research of machine vision.

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Dissertations / Theses on the topic "Image Composition"

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Lau, Wing Hung. "Realistic 3D image composition." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.239174.

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Grundland, Mark. "Color, style and composition in image processing." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613150.

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Rosas, Cobian Michael. "Electroacoustic music composition : myth, symbol and image." Thesis, City, University of London, 1997. http://openaccess.city.ac.uk/17771/.

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This thesis presents the author's musical compositions through the elucidation of their source impulse. In order to facilitate the unveiling of the works presented in this thesis I have subdivided it into sections thus: Section 1 - Here I introduce the reader to the motivation behind my music composition work and discuss the elements which inform my cosmology through the elucidation of the concepts and methods used in the realisation of the compositions. Section 2 - An introduction, discussion and conclusion to the series heading of Raza. The compositions and chapters are as follows: Chapter 3, Lucero for charango and tape; Chapter 4, Gato's Raid for marimba and tape; Chapter 6, De Luna a Luna ... for two percussionists and tape. In this section I address that particular musical imagery which is directly related to my cultural roots. Section 3 - An introduction, discussion and conclusion to the series heading of Urbis. The compositions and chapters are as follows: Chapter 9, Urbis #2 'passing moments/riffs & raffs' for bass clarinet and tape; Chapter 10, Urbis #3 'Alter ego' for electric guitar, live electronics and tape; Chapter 11, Urbis #4 for tape. In this section I address the use of modern urban culture symbols in order to create a contemporary mythological canon. Section 4 - A conclusion to this thesis.

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揚國豪 and Kwok-ho Yeung. "Panorama interpolation for novel view composition." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31225433.

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Yeung, Kwok-ho. "Panorama interpolation for novel view composition." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B22823700.

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Foster, Christopher. "Composition portfolio." Thesis, University of Wolverhampton, 2013. http://hdl.handle.net/2436/314592.

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Composition is a process of applied research. In a portfolio of eight original pieces, the technical and aesthetic components of this process are investigated from the perspective of several theoretical precepts which both inform and underpin its creative strategy. Drawing on theories of intertextuality, composition is collocated within a broad current of thought in which ideas and material from pre-existing ‘texts’ across a variety of disciplines are utilised and explored to create new compositional ‘texts’. This procedure is tested from several, key perspectives, characterised variously as: (i) problem-seeking, (ii) serendipitous, (iii) transgressive, and (iv) transcriptive. The first of these draws on John Dewey’s notions of art as a form of creative problematisation. In the second, techniques are developed in which performance flexibility is balanced against structural exactitude, aided by a series of parametric tables that outline a range of variables across the different elements of musical sound. As a transgressive process, compositional procedure is informed by Viktor Shklovsky’s theory of aesthetic defamiliarisation. Finally, as a form of transcription, the research draws on Ferruccio Busoni’s observations about notation and its key transmutational role in manipulating and recasting musical ideas. By adopting an eclectic attitude towards materials and techniques, a compositional strategy is formulated which offers an alternative to the assumption that advancement in the field is inevitably shaped by an ineluctable, dialectical process. A polyvalent approach and direct interaction with materials, it is argued, are the important creative ingredients which present valuable and meaningful developments in compositional language, form and technique.

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Roble, Douglas Raymond. "Computer assisted three dimensional rotoscoping for realistic image composition." Connect to resource, 1992. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1194555873.

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So, Ka Wai. "Sound and image : musical compositions in realization of intermedia." HKBU Institutional Repository, 2010. http://repository.hkbu.edu.hk/etd_ra/1197.

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Sumarmono, Juni. "Growth and carcass composition of male goats /." St. Lucia, Qld, 2004. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18005.pdf.

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Miller, Kristie. "Persistence, composition and time : issues in theoretical diversity /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18906.pdf.

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Books on the topic "Image Composition"

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Foley, James D. ICL, the image composition language. Washington, D.C: Institute for Information Science and Technology, Dept. of Electrical Engineering and Computer Science, School of Engineering and Applied Science, George Washington University, 1987.

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Rissler, Albrecht. Photographic composition: Principles of image design. Santa Barbara, CA: Rocky Nook Inc., 2014.

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Architectural photography: Composition, capture, and digital image processing. 2nd ed. Santa Barbara, CA: Rocky Nook, 2012.

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Digital architectural photography: Composition, capture, and digital image processing. Santa Barbara, CA: Rocky Nook, 2009.

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Non-discursive Rhetoric: Image and Affect in Multimodal Composition. Albany: State University of New York Press, 2009.

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Barr, George. Take your photography to the next level: From inspiration to image. Santa Barbara, CA: Rocky Nook, 2008.

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Stambovsky, Phillip. The depictive image: Metaphor and literary experience. Amherst: University of Massachusetts Press, 1988.

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Image grammar: Using grammatical structures to teach writing. Portsmouth, NH: Heinemann, 1999.

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The world created in the image of man: The conflict between pictorial form and space in defiance of the law of temporality. New York: Peter Lang, 2009.

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Joseph, Goldstein. Applications of the analytical electron microscope to materials science. [Washington, DC: National Aeronautics and Space Administration, 1992.

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Book chapters on the topic "Image Composition"

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Pritch, Yael, Yair Poleg, and Shmuel Peleg. "Snap Image Composition." In Computer Vision/Computer Graphics Collaboration Techniques, 181–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24136-9_16.

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Park, Je-Ho, and Young Bom Park. "Efficient Image Identifier Composition for Image Database." In Communications in Computer and Information Science, 321–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-27207-3_34.

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Krol, M. S., and H. J. van der Woerd. "Atmospheric Composition Calculations for Evaluation of Climate Scenarios." In Image 2.0, 259–81. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1200-0_8.

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Gooch, Bruce, Erik Reinhard, Chris Moulding, and Peter Shirley. "Artistic Composition for Image Creation." In Eurographics, 83–88. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6242-2_8.

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Gallea, Roberto, Edoardo Ardizzone, and Roberto Pirrone. "Automatic Aesthetic Photo Composition." In Image Analysis and Processing – ICIAP 2013, 21–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41184-7_3.

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Ghorai, Mrinmoy, Soumitra Samanta, and Bhabatosh Chanda. "Scale-Invariant Image Inpainting Using Gradient-Based Image Composition." In Computer Vision, Graphics, and Image Processing, 97–108. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68124-5_9.

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Wang, Dong, Weijia Jia, Guiqing Li, and Yunhui Xiong. "Natural Image Composition with Inhomogeneous Boundaries." In Advances in Image and Video Technology, 92–103. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25346-1_9.

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Zhan, Fangneng, Shijian Lu, Changgong Zhang, Feiying Ma, and Xuansong Xie. "Adversarial Image Composition with Auxiliary Illumination." In Computer Vision – ACCV 2020, 234–50. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69532-3_15.

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Megret, Rémi, Mounia Mikram, and Yannick Berthoumieu. "Inverse Composition for Multi-kernel Tracking." In Computer Vision, Graphics and Image Processing, 480–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11949619_43.

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Berger, Marie-Odile, and Gilles Simon. "Robust image composition algorithms for augmented reality." In Computer Vision — ACCV'98, 360–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63931-4_237.

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Conference papers on the topic "Image Composition"

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Akama, Taiki, Masachika Suzuki, Hisao Kimura, Yoshio Asada, Keisuke Suzuki, and Hiroki Takahashi. "Composition presentation based on compositional features for photography assistance." In International Workshop on Advanced Image Technology 2021, edited by Wen-Nung Lie, Qian Kemao, Jae-Gon Kim, and Masayuki Nakajima. SPIE, 2021. http://dx.doi.org/10.1117/12.2590758.

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Atkins, C. Brian, Nicholas P. Lyons, Xuemei Zhang, and Daniel R. Tretter. "Templated recursive image composition." In the international conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1873951.1874044.

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Atkins, C. Brian. "Blocked recursive image composition." In Proceeding of the 16th ACM international conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1459359.1459496.

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Manor, Jonathan. "Two dimensional image composition from unsynchronized line images." In Signal and Data Processing of Small Targets 1990. SPIE, 1990. http://dx.doi.org/10.1117/12.2321753.

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Manor, Jonathan, Uri Ovadia, and Bruno Alteresco. "Two-dimensional image composition from unsynchronized line images." In OE/LASE '90, 14-19 Jan., Los Angeles, CA, edited by Oliver E. Drummond. SPIE, 1990. http://dx.doi.org/10.1117/12.21576.

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Mortensen, Eric N., and William A. Barrett. "Intelligent scissors for image composition." In the 22nd annual conference. New York, New York, USA: ACM Press, 1995. http://dx.doi.org/10.1145/218380.218442.

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Zhen Tang, Zhenjiang Miao, and Yanli Wan. "Image composition with color harmonization." In 2010 25th International Conference of Image and Vision Computing New Zealand (IVCNZ). IEEE, 2010. http://dx.doi.org/10.1109/ivcnz.2010.6148796.

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Liu, Dong, Rohit Puri, Nagendra Kamath, and Subhabrata Bhattacharya. "Composition-Aware Image Aesthetics Assessment." In 2020 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2020. http://dx.doi.org/10.1109/wacv45572.2020.9093412.

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Vajgl, Marek, Petr Hurtik, Irina Perfilieva, and Petra Hodakova. "Image composition using F-transform." In 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2014. http://dx.doi.org/10.1109/fuzz-ieee.2014.6891761.

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Banner, Ron. "What makes good image composition?" In IS&T/SPIE Electronic Imaging, edited by Bernice E. Rogowitz and Thrasyvoulos N. Pappas. SPIE, 2011. http://dx.doi.org/10.1117/12.868049.

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Reports on the topic "Image Composition"

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Goforth, J., L. Gaines, W. White, III, and P. Pope. Description of Synthetic Model Building and Image Compositing Processes. Office of Scientific and Technical Information (OSTI), July 2013. http://dx.doi.org/10.2172/1088466.

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Zhu, Zhiliang. Scan angle calculation and image compositing for the Mexico forest mapping project. New Orleans, LA: U.S. Department of Agriculture, Forest Service, Southern Forest Experiment Station, 1994. http://dx.doi.org/10.2737/so-rn-375.

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Yi, Chen, Marianne Kielian-Gilbert, Nancy Rao, John Roeder, and Jennifer Bain. In Dialogue with Chen Yi: Compositional Images, Techniques, and Influences. Committee on the Status of Women, Society for Music Theory annual meeting, 2017. http://dx.doi.org/10.15273/10222/79583.

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Cihlar, J., R. Latifovic, J. M. Chen, J. Beaubien, Z. Li, and S. Magnussen. Selecting Representative High Resolution Sample Images for Land Cover Studies. Part 2: Application to Estimating Land Cover Composition. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2000. http://dx.doi.org/10.4095/219492.

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