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Many methods on extracting 3D information from 2D images have been studied since 1990s, especially the depth information extraction. A novel approach for depth extraction is proposed and implemented in this paper. About 30 images are taken especially for this case study and experiments are conducted on the Stanford Range Image Data. Results show that this approach is generally suitable for most of...
This paper introduces a new inpainting technique denominated turbo inpainting. The algorithm modifies the K-clustering with singular value decomposition (K-SVD) inpainting method to allow for iterative, progressive improvement. Turbo inpainting is composed of two separate blocks: inner inpainting and outer inpainting. The outer inpainting block maintains the original K-SVD algorithm, and is used to...
In this paper, we deal with problems of contour jaggies and blurring artifacts appeared in conventional image interpolation schemes, and present a new image interpolation method called trilateral filtering. The method exploits the smooth varying behaviour of natural image contours, and tries to overcome the contour jaggies problem by suppressing edge convex corner pixels. It first gives a primary...
Rotating velocity (RV) estimation is important for inverse synthetic aperture radar image forming and understanding. In this paper, based on the sub-pixel level position extraction of prominent scattering centers on range-Doppler image series, two kinds of RV estimation method are proposed based on the exploitation of line feature and triangle feature formed by the extracted scattering centers, respectively...
Recently, great attention was intended toward overcomplete dictionaries and the sparse representations they can provide. In a wide variety of signal processing problems, sparsity serves a crucial property leading to high performance. Decomposition of a given signal over two or more dictionaries with sparse coefficients is investigated in this paper. This kind of decomposition is useful in many applications...
Generally, blind super-resolution with unknown blurs is treated as an optimization problem. This involves a cost function, composed of terms accounting for changes in image and point spread function (PSF), which usually undergoes regularization due to the ill-posedness of the problem. In this paper, we introduce a novel regularization term for the PSF such that the spectral change in the image caused...
In learning based single image super-resolution (SR) approach, the super-resolved image are usually found or combined from training database through patch matching. But because the representation ability of small patch is limited, it is difficult to guarantee that the super-resolved image is best under global view. To tackle this problem, we propose a statistical learning method for SR with both global...
Quantitative MR imaging experiments (e.g., to measure relaxation and diffusion properties of tissues) often require image sequences with different contrast in each frame. However, high-resolution acquisition of each frame can lead to prohibitively long experiments. In this work, we investigate the possibility of utilizing a parametric contrast model to synthesize high-resolution information. Theoretical...
This paper presents a novel self-similarity based approach for the problem of vanishing point estimation in man-made scenes. A vanishing point (VP) is the convergence point of a pencil (a concurrent line set), that is a perspective projection of a corresponding parallel line set in the scene. Unlike traditional VP detection that relies on extraction and grouping of individual straight lines, our approach...
This paper proposes a method to generate a player's view video of an actual soccer match using a 3D free-viewpoint video technique. Users can enjoy 3D video simply by choosing a target player and concentrating on a soccer match from the player's view by manually controlling the viewing position. The generated video provides an immersive sight as if the user is running on the pitch. To generate the...
This paper presents a view-independent approach to markerless human motion capture in low resolution sequences from multiple calibrated and synchronized cameras. Redundancy among cameras is exploited to generate a 3D voxelized representation of the scene and a human body model (HBM) is introduced towards analyzing these data. An annealed particle filtering scheme where every particle encodes an instance...
This paper addresses the non-iterative quality phase gradient autofocus (QPGA) technique which was originally proposed to remove one-dimensional phase errors in spotlight-mode synthetic aperture radar (SAR) imagery. By enriching the source pool, the method is modified in a way suitable for autofocus in stripmap-mode SAR system with the advantage of being independent of any priori assumptions. Unlike...
Finer image resolution may be obtained with larger accumulated aspect angle for inverse synthetic aperture radar (ISAR), which may be provided by two mono-static ISAR systems. To form finer images with co-planar observations at different aspects, parameters such as the rotating of the non-cooperative moving object and the aspect angle difference between them must be provided. In this paper, a method...
The new spaceborne very high resolution (VHR) synthetic aperture radar (SAR) sensors onboard the TerraSAR-X and COSMO-SkyMED satellites can achieve spatial resolutions in the order of 1 meter. In VHR SAR data, features from individual urban structures (like buildings) can be identified in their characteristic settings in urban settlement patterns. In this paper, we extend a methodology for the height...
In this paper a new method for single image super-resolution using some high resolution images is proposed. It is assumed that each high resolution image shows a region of the low resolution image, with some differences about illumination or view point. These differences may be due to taking photos in different times, camera motion or unequal zooming. In the proposed method each high resolution image...
A number of algorithms for image super-resolution using multiple images, have been developed over the last two decades. On the other hand, a very less amount of efforts have been made to explore the issues regarding performance analysis of these methods. Since the problem of super-resolution is often a parameter estimation problem, the Cramer-Rao bound proves to be useful tool in analyzing the performance...
In this paper, the authors propose a method for thresholding a gray-scaled image. In the method, a threshold for a coordinate is set by an iteration that is composed of the pixels detection from neighboring area and a calculation of a candidate threshold using the detected pixels. The candidate threshold settles down to a value, because the detected pixels finally become invariable. Therefore, the...
In this paper, in order to realize the image enlargement with high performance, we propose a new enlargement method, which restores high-frequency components lost in the interpolation-based methods, by using high-frequency estimation. The estimation is based on the eigenspace method proposed by Amano et al. The proposed enlargement method can generate lost high-frequency components by using pairs...
Projector-camera system has been researched for years and it has become more and more popular in 3D vision and many other applications. However, with pre-determined position of projector's lens, projector based researches were not able to deal with the scenes that have objects with different distances from the projector. In this paper, we present a projector autofocusing technique based on local blur...
In this paper, we present the use of modified uniform Cramer-Rao type bounds (MUCRB) for the design of single photon emission tomography (SPECT) systems. The MUCRB is the lowest attainable total variance using any estimator of an unknown vector parameter, whose mean gradient matrix satisfies a given constraint. Since the mean gradient is closely related to local impulse function, the MUCRB approach...
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