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Filtered back projection reconstruction algorithm is commonly used in CT image reconstruction algorithm, in which the filtering process has a great impact on the quality of image reconstruction. Aiming at the problem of low reconstruction precision and long operation time on the present commonly used filter, the existing filter is improved in this paper. The hybrid filter R-L&W-Lewit is designed...
Low Light Level Images (LLLIs) are captured with exceptionally low brightness and low contrast, and cannot be enhanced satisfactorily with ordinary methods. In this paper, we propose a LLLI enhancement method using coupled dictionary learning. During the training stage, a pair of dictionaries and a linear mapping function are learned simultaneously. The dictionary pair aims to describe the raw LLLIs...
This paper presents a novel object tracking method based on approximated Locality-constrained Linear Coding (LLC). Rather than using a non-negativity constraint on encoding coefficients to guarantee these elements nonnegative, in this paper, the non-negativity constraint is substituted for a conventional l2 norm regularization term in approximated LLC to obtain the similar nonnegative effect. And...
In histopathology images, there often exists several Nuclei overlapped with each other which causes difficulty to automatic nuclei segmentation. As we all know, watershed algorithm has been widely employed in image segmentation. But the limitation of watershed segmentation is sensitive to noise and can lead to serious over-segmentation. In this paper, we present an improved watershed transformation...
The regularization parameter plays a critical role in recovering bioluminescent source for regularization based reconstruction methods. To date, the regularization parameter is usually selected either through the empirical choice or prior experience of the user. Therefore, it is highly desirable to develop a methodology to adaptively determine the regular-ization parameter. In the paper, a deterministic...
In image-guided neurosurgery, preoperatively acquired diagnostic images (e.g., brain MRI) should be accurately registered to the physical space that is specific to the patient's intraoperative neuroanatomy. A popular framework of registration requires manual defining corresponding positions of fiducial markers on the patient head and the preoperative brain MRI. The procedure is time-consuming and...
In order to solve the reconstructed image problem with poor image quality and long data scan time, 3D-EVDRS algorithm is proposed in this paper. By using 3D sampling trajectory in EVDRS algorithm, 3D-EVDRS algorithm can rationally solve the reconstructed image problem with poor image quality and long data scan time. For illustration, the medical diagnosis spine data is utilized to show the feasibility...
The multi-channel image or the video clip has the natural form of tensor. The values of the tensor can be corrupted due to noise in the acquisition process. We consider the problem of recovering a tensor L of visual data from its corrupted observations X = L + S, where the corrupted entries S are unknown and unbounded, but are assumed to be sparse. Our work is built on the recent studies about the...
This paper presents a novel algorithm for the dimensionality reduction which employs compressed sensing (CS) to improve the generalization capability of a classifier, especially for large-scale data. Compared to traditional dimensionality reduction methods, the proposed algorithm makes no use of the problem-dependent parameters, nor does it require additional computation for the eigenvalue decomposition...
Fast and efficient disparity estimation and compensation are the key techniques in multi-view video processing. When implementing multi-view video coding, there are lots of temporal and inter-viewpoint redundancy among viewpoints, which makes the compression work more challenging. It is found that the inter-viewpoint relationship is subject to the epipolar geometry, which provides constraints between...
In this paper a novel interpolation approach is proposed to reduce the number of samples required for system response reconstruction. We explore the effect of complex exponential term e-jkr (which is the numerator part of Greenpsilas function) in electromagnetic field, which causes the oscillation in system response especially in the high frequency domain. If it is divided from the field quantity,...
Proposed is a novel theory for SAR (synthetic aperture radar) image de-noising based on ICA (independent component analysis) basis images. Firstly, the basis images and the code matrix of the original image are obtained using ICA algorithm. Then, pointwise Holder exponent of each basis is computed as a cost criterion for basis enhancement, and then the enhanced basis images are classified into two...
As a new non-invasive functional imaging technology, thermal diagnosis has become a potential assistant method for its special diagnosis theory. The current diagnosis is almost restricted in subjective experience according to thermal image, without a quantitative analysis. In this paper, intuitionistic 3D temperature distribution of organism can be obtained through solving bio-heat transfer inverse...
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