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Open Access Gradient Enhanced Image Pyramid for Improved Nonlinear Image Registration

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In this paper we investigate the use of image pyramid within a hierarchical registration framework for improved nonlinear image registration. Gaussian image pyramid is commonly used to reduce image complexity so that registration can be performed in a coarse to fine manner. In this paper, we apply two edge preserving filters, the bilateral filter and the guided filter, to generate image pyramids that can preserve strong gradient so as to improve registration accuracy. In addition, we propose a bilateral fractional differential based image enhancement filter and combine its output with a guided filter to generate another image pyramid that further enhances the gradient of strong image components. Registration is performed within a hierarchical framework where the model complexity of a Discrete Cosine Transformation (DCT) based nonlinear model is increased to couple with the image pyramid. Different image pyramids are compared by using three types of synthetic deformation fields. Experimental results show that registration using the gradient enhanced image pyramid achieves more accurate registration than registration using the Gaussian image pyramid.
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Document Type: Research Article

Publication date: February 14, 2016

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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.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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