Research On Computational Reconstruction Technology Of Integral Imaging

Integral Imaging (â…¡) is a technique capable of recording and displaying 3D images in natural color through micro-lens array. This technique is a promising technology because:a) it produces autosteroscopic images, thus not requiring special viewing devices, b) it does not require special illumination of the scene, c) it provides the observer images with full parallax and continuous viewing points, d) it can overcome the observer's visual fatigue because of convergence-accommodation conflict. Integral imaging has attracted a great deal of attention in 3D imaging fields in recent years. Low resolution is always one of the most important factors which constrained the development ofâ…¡technology.There are two kinds of methods to resolve low resolution of reconstructed image in II. One is optical method and the other is to improve reconstructed algorithms based on computer. Under the existingâ…¡system conditions, this paper mainly studies on improvement of reconstructed algorithms to improve image resolution according to the features of integral imaging.Several kinds of 3D display techniques and their characteristics are concluded in this paper. Basic theories of II technology are analyzed, including work principles, performance indexes and categories of II system. Then, the resolution limitation of integral imaging is discussed. Calculation of the resolutionm, the affection of diffraction limitation and focusing error on the resolution of II are also analyzed.After introducing current optical methods of improving resolution of reconstructed images, traditional reconstruction methods are concluded and experimented in this paper. Based upon the detailed analysis of the noise removal of integral image, a local removing noise method in elemental images is proposed according to characteristics of integral image. This method can achieve the same affection as usual removing noise methods while maintain clear boundary between elemental images. It is good for later processing of integral images.The method of improving reconstruction algorithm to improve resolution of reconstructed image is more flexible and feasible without requiring mechanical movements and additional equipments. This paper proposes an image post-processing method based on smooth transition between the adjacent similar pixels blocks. The proposed method modifies gray values of the pixels in the similar pixels blocks according to the proposed algorithm. Thus it provides improvement of viewing image by smooth processing in similar pixel blocks to relieve discontinuous pixel values between the adjacent pixels blocks. In addition, this paper also proposes a method of improving visual quality of computational integral imaging reconstructed images. This method is based on texture features in the matching regions of the same object region through different lenslets. Several pixels are extracted from two matching regions in adjacent elemental images to reconstruct corresponding image region after weighted calculation. Compared with conventional reconstructed methods, this method removes pixel-blocking effect existing in direct reconstruction of pixel blocks and improves viewing quality of reconstructed image.Finally, image super-resolution reconstruction techniques are researched. This paper proposes that super resolution processing should be introduced into post-processing of reconstructed image sequences and designs the methods of super resolution processing for single image and multiple images. Experimentations of the proposed algorithms in this paper are carried out and better results are achieved.