Academic literature on the topic 'Image zooming'

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Journal articles on the topic "Image zooming"

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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