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Open Access Texture representations in different basis functions for image synthesis using system criteria analysis

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This paper introduces a texture representation suitable for image synthesis of textured surfaces. An efficient representation for natural images is of fundamental importance in image processing and analysis. The automated analysis of texture is widely applied in a number of real-world applications, e.g., image and video retrieval, object recognition and classification. For texture representation we consider the orthogonal decomposition of two-dimensional signals (images) using spectral transform in the different basis functions. This paper focuses on the analysis of the following basis functions Fourier, Walsh, Haar, Hartley and cosine transform using system criteria analysis. This criterion includes error signal representation and computational cost. For correct calculation of the components of the system criterion we use statistical averaging. It is shown that the Haar transform can represent textural patches more efficiently with smaller average risk than other basis functions. The texture representations results compare favourably against other state-of-the-art directional representations.
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Document Type: Research Article

Publication date: 29 January 2017

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

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