Author : Syed Abdul Moeed 1
Date of Publication :14th February 2018
Abstract: This paper explains numerous applications, the texture synthesis is mainly based upon multiple seed-blocks and multi-kernel support vector machine (MKSVM). In generally the MKSVM is a linear kernel that hybrid the linear kernel and quadratic kernel in order to improve the efficiency of the synthesis texture. And also this paper explains of four modules such as (i) Pre-processing, (ii) Feature extraction, (iii) Training using MKSVM and (iv) Output pixel synthesis. So At first we should give a sample image to the processing unit. Next, we should extract the features from the input preprocessed grayscale image. Now we should train the sample with a class label by using MKSVM model. Finally, in the testing process, the output pixels are synthesized. And also the experimental result shows, our proposed methodology successfully synthesize both random as well as textures
Reference :
-
- Efros and T. Leung, “Texture synthesis by nonparametric sampling”, IEEE International Conference on Computer Vision, vol. 2, pp. 1033-1038, 1999.
- Li- Yi Wei and MaercLevoy, “Fast texture synthesis using tree-structured vector quantization”, ACM Proceedings of SIGGRAPH, 2000
- Y. Q. Xu, B. N. Guo and H. Shum, “Chaos mosaic: fast texture synthesis”, Microsoft Research Report, 2000.
- P. J. Burt and E. H. Adelson, “Multi-resolution spline with application to image mosaics”, AChl Transactions on Graphics, vol.2, no.4, pp.217-236, 1983.
- Chongyang Ma, Li-Yi Wei, BainingGuo and Kun Zhou, „„Motion Field Texture Synthesis‟‟, ACM Transactions on Graphics, 2009
- Ebert, Musgrave, Peachey, Perlin and Worley, “Texturing and Modeling: A Procedural Approach “, Morgan Kaufmann Publishers Inc., 2002.
- Jiang Niand and Henry Schneiderman, “An Improved Texture Synthesis Algorithm Using Morphological Processing with Image Analogy”, 2014.