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Multiresolution Texture Synthesis in Wavelet Transform Domain

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In this article we propose a multiresolution texture synthesis algorithm in which coefficient blocks of the spatiofrequency components of the input texture are efficiently stitched together to form the corresponding components of the synthesized output texture. We propose two algorithms to this effect. In the first, we use a constant block size throughout the algorithm. In the second, we adaptively split blocks so as to use the largest possible block size in order to preserve the global structure, while maintaining the mismatched error of the overlapped boundaries below a certain error tolerance. Throughout the algorithm designs, special consideration is given to minimizing the computational cost. We show that the adaptation of the multiresolution approach results in a fast, cost effective, flexible texture synthesis algorithm that is capable of being used in conjunction with modern, bandwidth-adaptive, Markov random field imaging applications. A collection of regular and stochastic test textures is used to prove the effectiveness of the proposed algorithm.

Document Type: Research Article


Affiliations: Department of Computer Science, Loughborough University, Loughborough, Leicestershire LE11 3TU, United Kingdom

Publication date: January 1, 2006

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  • The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.

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