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INVESTIGATION OF COMPUTATIONAL COMPOUND-EYE IMAGING SYSTEM WITH SUPER-RESOLUTION RECONSTRUCTION Wai-San Chan and Edmund Y. Lam Department of Electrical and Electronic Engineering The University of Hong Kong Pokfulam Road, Hong Kong Michael K. Ng Department of Mathematics Hong Kong Baptist University Kowloon Tong, Hong Kong ABSTRACT Despite the emerging architectural designs of compound-eye imaging systems, the post-processing algorithms for the re- construction of the Fnal image from the multiple sub-images is still not fully developed to maturity, resulting in poor qual- ity or low resolution of the reconstructed images. In this paper, we describe and investigate a practical computational compound-eye imaging system with super-resolution recon- struction. This methodology can enhance the image quality by increasing the resolution of the reconstructed image. A virtual compound-eye camera is built to demonstrate the fea- sibility of the system. Simulation results which investigate the tolerance of the system to lens diversity, for instance focal length and aberrations, are also presented. 1. INTRODUCTION Many applications demand the miniaturization of the imaging systems. Direct scaling of the lens elements however would degrade the image quality due to diffraction. Recent devel- opment of the multi-lens imaging systems has shown to be a promising solution. Instead of using a single large lens to form a single image of the object, a multi-lens imaging sys- tem uses an array of small lenses to form multiple sub-images of the object. The Fnal image of the object is retrieved by post-processing the sub-images. The use of an array of small lenses in the imaging system allows the system to become very compact. An imaging device designed in such a fashion is commonly known as a compound-eye imaging system. Compound-eye imaging system design has received a lot of attention in recent years. Advantages of compound-eye imaging systems are compactness, lightness and wide Feld of view. Possibility of parallel signal processing is also consid- ered as a potential of compound-eye camera. Several research groups have designed and constructed novel architectures of compound eye imaging systems [1, 2, 3]. ±or example, an artiFcial apposition compound-eye imaging system was de- signed based on the apposition compound eyes of small in- vertebrates [1]. Although this design of artiFcial compound- eye drastically reduces the thickness of an imaging system below 1 mm, both the resolution power and light efFciency of the system is very low as only one sample point of each sub-image is used in the reconstruction of the Fnal image [1]. TOMBO (Thin Observation Module by Bound Optics) is an- other compound-eye imaging system. This system has the ad- vantage of high sensitivity over the artiFcial compound-eye imaging system as the entire region of the each of the sub- images are used to retrieve the image of the object [3]. Recon- struction methods based on interpolation of pixel values have been developed, which produce images of fair quality [4].
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This note was uploaded on 04/22/2010 for the course MI IP taught by Professor Vladbalan during the Spring '10 term at Universidad del Rosario.

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