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Journal articles on the topic 'Image zooming'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Shyamala Devi, M., R. Suguna, Paul K. Lbungdim, Sairam Kondapalli, Satwat Kumar Ambashta, and Duggishetti Akhil. "Systematic Image Zooming and Panning of Graphical Images Using Fractional Replication." Journal of Computational and Theoretical Nanoscience 17, no. 1 (2020): 519–25. http://dx.doi.org/10.1166/jctn.2020.8700.

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Scaling is the major operation performed in Transformation of images. The Scaling is an important operation for resizing and reshaping the images that are in digital form. Various operations can be performed with digital images out of which the shrinking and zooming are the most widely operations by any type of users in the world. The other name for shrinking is sub sampling and the zooming operation is also named as Oversampling. The purpose of zooming operation is to extend or enlarge the image in order to have a clear and efficient view. Zooming operations are mostly performed in our mobile

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2

Jiang, Dong Huan, and Guang Bao Xu. "Image Zooming Based on Cartoon and Texture Decomposition." Advanced Materials Research 457-458 (January 2012): 1002–7. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1002.

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A new algorithm for image zooming based on cartoon and texture decomposition is presented in this paper. The basic idea is to first decompose the image into cartoon and texture, and then zoom each part separately with different image zooming algorithms. Finally, the zoomed images will be synthesized into one image. The zoomed parts of the image are found by minimizing the different variational functional in the wavelet domain which use the Besov norm to measure the regularity of the parts. Unlike the traditional image zooming by interpolation, the variation model and image cartoon-texture deco

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3

REVATHY, K., G. RAJU, and S. R. PRABHAKARAN NAYAR. "IMAGE ZOOMING BY WAVELETS." Fractals 08, no. 03 (2000): 247–53. http://dx.doi.org/10.1142/s0218348x00000342.

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Enlargement and reduction of images are often required in image processing. Popular methods for re-sizing are standard interpolation methods. Recently, wavelets and fractal-based methods are developed for re-sizing. In this paper, wavelet zooming algorithm based on pyramid algorithm for wavelet transformation is explained. Also performance analysis of wavelet-based zooming method is investigated. We find that wavelet zooming with enhanced coefficients gives better visual quality. The objective error analysis also agrees with this. Wavelet zooming has also been performed block-wise. A significa

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4

Tang, Yunyi, and Yuanpeng Zhu. "Image Zooming Based on Two Classes of C1-Continuous Coons Patches Construction with Shape Parameters over Triangular Domain." Symmetry 12, no. 4 (2020): 661. http://dx.doi.org/10.3390/sym12040661.

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Image interpolation is important in image zooming. To improve the quality of image zooming, in this work, we proposed a class of rational quadratic trigonometric Hermite functions with two shape parameters and two classes of C 1 -continuous Coons patches constructions over a triangular domain by improved side–side method and side–vertex method. Altering the values of shape parameters can adjust the interior shape of the triangular Coons patch without influencing the function values and partial derivatives of the boundaries. In order to deal with the problem of well-posedness in image zooming,

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5

Thurnhofer, Stefan. "Edge‐enhanced image zooming." Optical Engineering 35, no. 7 (1996): 1862. http://dx.doi.org/10.1117/1.600619.

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6

Paltiel, Zvi. "4644280 Magnetic resonance image zooming." Magnetic Resonance Imaging 5, no. 6 (1987): VII. http://dx.doi.org/10.1016/0730-725x(87)90464-4.

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7

Darwish, A. M., M. S. Bedair, and S. I. Shaheen. "Adaptive resampling algorithm for image zooming." IEE Proceedings - Vision, Image, and Signal Processing 144, no. 4 (1997): 207. http://dx.doi.org/10.1049/ip-vis:19971342.

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8

Ebrahimi, Mehran, and Edward R. Vrscay. "Nonlocal-means single-frame image zooming." PAMM 7, no. 1 (2007): 2020067–68. http://dx.doi.org/10.1002/pamm.200700447.

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9

Nakao, K., Y. Koya, Y. Kubo, and S. Sugimoto. "Image Zooming Algorithms using Total Variation." Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications 2016 (2016): 299–306. http://dx.doi.org/10.5687/sss.2016.299.

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10

Hakran Kim, Youngjoon Cha, and Seongjai Kim. "Curvature Interpolation Method for Image Zooming." IEEE Transactions on Image Processing 20, no. 7 (2011): 1895–903. http://dx.doi.org/10.1109/tip.2011.2107523.

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11

Cha, Youngjoon, and Seongjai Kim. "Edge-Forming Methods for Image Zooming." Journal of Mathematical Imaging and Vision 25, no. 3 (2006): 353–64. http://dx.doi.org/10.1007/s10851-006-7250-2.

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12

Li, Dong, Xiao Li Wang, Si Mon Chi, Chang Rui Zhao, and Bin Yang. "A Clock Optimization Method in the Digital Zooming of the Image Signal Processing System." Advanced Materials Research 981 (July 2014): 315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.981.315.

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We address the problem of producing an enlarged picture from a given digital image (zooming). We propose a method that tries to take into account the difficulty to apply the very fast clock in the digital zooming unit of an ISP system. The ISP system hardware is realized in the FPGA and the zooming algorithm is parabola interpolation architecture. This paper presents an optimization method by using a synchronization FIFO to greatly reduce the clock frequency of the digital zooming unit, and by this the power consumption is also decreased significantly.

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13

Polidori, Eric, and Jean-Luc Dugelay. "Zooming Using Iterated Function Systems." Fractals 05, supp01 (1997): 111–23. http://dx.doi.org/10.1142/s0218348x97000681.

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Iterated Function Systems (I.F.S.) have been recently studied in the field of image coding. In addition to compression, I.F.S. possess some properties of fractals which can be used to sub/oversample an image. In this paper, we review how I.F.S. can be used for image zooming, directly from basic algorithms of still image compression. This study shows that results obtained in such a way do not produce better results than those obtained by using classical spatial interpolators such as the linear one. However, in this paper we also show that modified versions of the basic approach provide a better

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14

Yu, Hai Zhu, Xiao Li Chai, and Hua Deng. "Image Interpolation Based on Wavelet Transform." Applied Mechanics and Materials 484-485 (January 2014): 853–55. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.853.

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Image interpolation is widely studied and used in digital image processing. In this paper, a method of image magnification according to the properties of fractal interpolation and wavelet transformation are presented. We focus the development of edge forming methods to be applied as a post process of standard image zooming methods for grayscale images, with the hope of retaining edges. Experiments make sure it valid.

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15

Sun, Li Hua, En Liang Zhao, and Feng Ying Wang. "A Numerical Computational Method for Image Zooming." Applied Mechanics and Materials 543-547 (March 2014): 2300–2303. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2300.

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In this paper, we make use of the integral method which is commonly used in partial differential equations to get the difference scheme on five points, and then construct an anisotropic diffusion model based on the partial differential equation. The numerical experimental results show the diffusion model can effectively magnify the image, and can keep the edge character and details of the image. It is proved that the numerical computational method proposed for solving the model is very effective.

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16

Girod, Carlos V. "The Image Revolution: Zooming in on Cinematography." SMPTE Motion Imaging Journal 114, no. 4 (2005): 161–63. http://dx.doi.org/10.5594/j11536.

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17

Lenzen, Frank. "Displacement Regularization with Application to Image Zooming." PAMM 10, no. 1 (2010): 637–38. http://dx.doi.org/10.1002/pamm.201010311.

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18

Lukac, R., K. N. Plataniotis, and D. Hatzinakos. "Color image zooming on the Bayer pattern." IEEE Transactions on Circuits and Systems for Video Technology 15, no. 11 (2005): 1475–92. http://dx.doi.org/10.1109/tcsvt.2005.856923.

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19

Zhou, D., W. Dong, and X. Shen. "Image zooming using directional cubic convolution interpolation." IET Image Processing 6, no. 6 (2012): 627–34. http://dx.doi.org/10.1049/iet-ipr.2011.0534.

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20

Cha, Y., and Seongjai Kim. "Edge-forming methods for color image zooming." IEEE Transactions on Image Processing 15, no. 8 (2006): 2315–23. http://dx.doi.org/10.1109/tip.2006.875182.

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21

Arnspang, Jens, and Jun Ma. "Image irradiance equations for a zooming camera." Pattern Recognition Letters 10, no. 3 (1989): 189–94. http://dx.doi.org/10.1016/0167-8655(89)90086-x.

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22

Jiang, Dong Huan, and Guang Bao Xu. "Image Zooming Based on Cartoon and Texture Decomposition." Advanced Materials Research 457-458 (January 2012): 1002–7. http://dx.doi.org/10.4028/scientific5/amr.457-458.1002.

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23

FENG, Xiang-Chu, Dong-Huan JIANG, and Guang-Bao XU. "Combining Variation and Wavelet Transform for Image Zooming." Chinese Journal of Computers 31, no. 2 (2009): 340–45. http://dx.doi.org/10.3724/sp.j.1016.2008.00340.

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24

JIANG, Dong-huan, Guang-bao XU, and Chang-lei DONGYE. "Variational image zooming based on nonlocal total variation." Journal of Computer Applications 32, no. 3 (2013): 725–28. http://dx.doi.org/10.3724/sp.j.1087.2012.00725.

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25

WU Yu-lian, 吴玉莲, 冯象初 FENG Xiang-chu, and 姜东焕 JIANG Dong-huan. "Second Order Total Generalized Variation for Image Zooming." ACTA PHOTONICA SINICA 42, no. 6 (2013): 732–36. http://dx.doi.org/10.3788/gzxb20134206.0732.

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26

Chen, Hsiang-Chieh, and Wen-June Wang. "Fuzzy-adapted linear interpolation algorithm for image zooming." Signal Processing 89, no. 12 (2009): 2490–502. http://dx.doi.org/10.1016/j.sigpro.2009.04.016.

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27

Cha, Youngjoon, Gi Yun Lee, and Seongjai Kim. "Image Zooming by Curvature Interpolation and Iterative Refinement." SIAM Journal on Imaging Sciences 7, no. 2 (2014): 1284–308. http://dx.doi.org/10.1137/130907057.

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28

Hassanpour, H., N. Nowrozian, M. M. AlyanNezhadi, and N. Samadiani. "Image Zooming Using a Multi-layer Neural Network." Computer Journal 61, no. 11 (2018): 1737–48. http://dx.doi.org/10.1093/comjnl/bxy092.

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29

Druart, Guillaume, Jean Taboury, Nicolas Guérineau, et al. "Demonstration of image-zooming capability for diffractive axicons." Optics Letters 33, no. 4 (2008): 366. http://dx.doi.org/10.1364/ol.33.000366.

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30

Parveen, Shabana. "Faster Image Zooming using Cubic Spline Interpolation Method." International Journal on Recent and Innovation Trends in Computing and Communication 3, no. 1 (2015): 22–26. http://dx.doi.org/10.17762/ijritcc2321-8169.150106.

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31

Howie, A. "Aberration correction: zooming out to overview." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1903 (2009): 3859–70. http://dx.doi.org/10.1098/rsta.2009.0104.

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In the structural characterization of thin specimens by projection (atomic column) imaging, the revolutionary development of aberration-corrected electron microscopy has already brought significant improvements not only in spatial resolution but also in improved image contrast. Some highlights from the symposium are summarized. Despite the purchasing and operating costs as well as the demands they place on operator skills, a staggering number of these new microscopes has already been installed worldwide. Serious challenges, therefore, arise including the need to attract customers from a wide r

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32

Wu, Tingting, Yufei Yang, and Huichao Jing. "Two-step methods for image zooming using duality strategies." Numerical Algebra, Control & Optimization 4, no. 3 (2014): 209–25. http://dx.doi.org/10.3934/naco.2014.4.209.

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33

Lukac, Rastislav, and Konstantinos N. Plataniotis. "Digital zooming for color filter array-based image sensors." Real-Time Imaging 11, no. 2 (2005): 129–38. http://dx.doi.org/10.1016/j.rti.2005.01.002.

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34

A., Abdelmgeid, Tarek A., Al-Hussien Seddik, and Shaimaa M. "New Image Steganography Method using Zero Order Hold Zooming." International Journal of Computer Applications 133, no. 9 (2016): 27–31. http://dx.doi.org/10.5120/ijca2016908016.

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35

Rangarajan, L. M., and K. Varadarajan. "Electron-optical zooming using a modified image tube configuration." Journal of Physics E: Scientific Instruments 18, no. 12 (1985): 1040–48. http://dx.doi.org/10.1088/0022-3735/18/12/010.

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36

Gao, Hongwei, Jinguo Liu, Yang Yu, and Yangmin Li. "Distance measurement of zooming image for a mobile robot." International Journal of Control, Automation and Systems 11, no. 4 (2013): 782–89. http://dx.doi.org/10.1007/s12555-012-9324-9.

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37

Chang, Chin-Chen, Yung-Chen Chou, Yuan-Hui Yu, and Kai-Jung Shih. "An image zooming technique based on vector quantization approximation." Image and Vision Computing 23, no. 13 (2005): 1214–25. http://dx.doi.org/10.1016/j.imavis.2005.07.020.

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38

Liu, Li Bo, Chun Jiang Zhao, Hua Rui Wu, and Rong Hua Gao. "Image Reduction Method for Rice Leaf Disease Based on Visual Attention Model." Applied Mechanics and Materials 220-223 (November 2012): 1393–97. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1393.

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Analyzing the crop growth status through leaf disease image is one of the hottest issues in agriculture and forestry fields currently. But the size of image gathered by digital camera is too large, the focus of this research is to zooming-out image at the condition of ensuring the main information which carried by the image to distort lower. Based on the further study of visual attention model proposed by Itti and Ma YF. This paper establishes visual attention and visual saliency map of rice blast and brown spot disease image, whose size is 4272*2878 pixels. Finally, determines the reduction s

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39

Wang, Gang, Yue Rong Li, Jing Ling Song, Kun Han, and Chang Qing Fu. "A Class of Partial Differential Equations Based on the Mean Filter Used for Image Zooming." Applied Mechanics and Materials 263-266 (December 2012): 2435–38. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2435.

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By studying the principles of the mean filter, we obtain a class of partial differential equations based on mean filter, which used for image zooming. Experimental results show that our method is feasible. It also confirmed the importance of the partial differential equations in image processing.

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40

Tian, Yushuang, and Kim-Hui Yap. "Joint Image Registration and Super-Resolution From Low-Resolution Images With Zooming Motion." IEEE Transactions on Circuits and Systems for Video Technology 23, no. 7 (2013): 1224–34. http://dx.doi.org/10.1109/tcsvt.2013.2242593.

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41

Abed Uthaib, Masar, and Muayad Sadik Croock. "Vehicle plate localization and extraction based on hough transform and bilinear operations." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (2020): 1088. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp1088-1097.

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<p>In general, the extraction of the vehicle plate is a previous step of plate recognition, and it actively studied for several decades. Plate localization is used in various security and traffic applications. In this paper, the proposed method is efficient to localize a plate for the multinational countries. The proposed method consists of three levels. The first level is the preprocessing<strong> </strong>that contains several steps. The digital camera capture images have been taken about twenty meters from the car with zooming two to three meters. Images are resampled usin

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42

Liu, Chunhua, Jianfeng Yao, and Hongbing Liu. "Image Zooming Algorithms Based on Granular Computing with l∞-norm." British Journal of Applied Science & Technology 11, no. 2 (2015): 1–8. http://dx.doi.org/10.9734/bjast/2015/19722.

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43

Yang, Yu-Fei. "Image-zooming technique based on Bregmanized nonlocal total variation regularization." Optical Engineering 50, no. 9 (2011): 097008. http://dx.doi.org/10.1117/1.3625417.

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44

Gao, Hongwei, Yueqiu Jiang, Jinguo Liu, Yang Yu, and Zhaojie Ju. "Zooming image based false matches elimination algorithms for robot navigation." Advances in Mechanical Engineering 9, no. 12 (2017): 168781401773815. http://dx.doi.org/10.1177/1687814017738155.

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45

Gao, Ran, Cong Gu, and Xiao Li. "Image zooming model based on fractional-order partial differential equation." Journal of Discrete Mathematical Sciences and Cryptography 20, no. 1 (2016): 55–63. http://dx.doi.org/10.1080/09720529.2016.1178901.

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46

Malgouyres, F., and F. Guichard. "Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis." SIAM Journal on Numerical Analysis 39, no. 1 (2001): 1–37. http://dx.doi.org/10.1137/s0036142999362286.

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47

许, 世阳. "Hardware Design of WLI Image-Zooming Algorithm Based on Zedboard." Computer Science and Application 05, no. 06 (2015): 195–203. http://dx.doi.org/10.12677/csa.2015.56025.

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48

Lukac, R., K. Martin, and K. N. Platanoitis. "Digital camera zooming based on unified CFA image processing steps." IEEE Transactions on Consumer Electronics 50, no. 1 (2004): 15–24. http://dx.doi.org/10.1109/tce.2004.1277836.

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49

Amanatiadis, Angelos, and Ioannis Andreadis. "An integrated architecture for adaptive image stabilization in zooming operation." IEEE Transactions on Consumer Electronics 54, no. 2 (2008): 600–608. http://dx.doi.org/10.1109/tce.2008.4560136.

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50

Cha, Youngjoon, and Seongjai Kim. "The Error-Amended Sharp Edge (EASE) Scheme for Image Zooming." IEEE Transactions on Image Processing 16, no. 6 (2007): 1496–505. http://dx.doi.org/10.1109/tip.2007.896645.

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