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Single sensor camera captures scenes using a color filter array, such that each pixel samples only one of the three primary colors. A process called color demosaicking (CDM) is used to produce full color image. In this paper, we present a new variational model for high quality CDM. The robust data term is measured by Z1-norm to repress the heavy tailed artifacts. The regularization term is measured...
Medical ultrasound images are low contrast in nature. Information regarding tissues and other important structure is required by a physician to assess patient's health. Therefore image enhancement is a critical pre-processing task. In this paper a methodology based on emerging topic of fractional calculus is proposed. Proposed method is simple yet effective. In the proposed algorithm, input image...
Existed algorithms to detect constructing vehicles intrusion in order to prevent power grid transmission line from damage by using video/image processing can only detect constructing vehicles in a single color. In this paper, a new algorithm to detect invasive constructing vehicles based on BOW presentation model is proposed. Firstly, Gaussian fuzzy operation is imposed on the image and Gaussian mixture...
A realistic challenge in neuroanatomy is to assist radiologists to detect the brain neoplasm at an early stage. This paper presents a fast and accurate Computer Aided Diagnosis (CAD) system based on selective block based approach for neoplasm (tumor) detection from T2-weighted brain MR images. The salient contribution of the presented work lies in a fast discrimination using selective block based...
In the calculation process of spatial-temporal co-occurrence patterns, traditional methods often set the whole time frame as the actual existence time by default for all moving targets. However, in practice, existence time frame of different types is not necessarily the whole time frame. Based on this fact, the paper describes the calculation method of spatial-temporal interest degree-spatial frequency...
The characteristic of the subband coefficients of the discrete fractional wavelet transform (DFRWT) vary with the change of the order p should be utilized in this paper. The original image is decomposed by DFRWT in different p order near p=1, and the mode subband coefficients have changed slightly with the comparison of DWT(p=1). In order to make the result of image enhancement selective, the paper...
Various statistical methods such as co-occurrence matrix, local binary patterns and spectral approaches such as Gabor filters have been used for generating global features for image classification. However, global image features fail to distinguish between local variations within an image. Bag-of-visual-words (BoVW) model do capture local variations in an image, but typically do not consider spatial...
Face recognition is a typical application of biometrics identification technologies, which requires specific methods to obtain face representation as its features. In this paper, we apply a simple yet highly reliable method called Vector Quantization (VQ) to extract the features. Although VQ algorithm has been proven effective, the inability of VQ histogram features to convey spatial structure information,...
This paper propose a road detection, which is based on the color space and cluster connection. Generally, this method consists of two steps. The first step is road detection based on the color space. The second step is removing the fails road detection in the first step by using correlation. The correlation formula is used for calculating the similarity of each cluster image. The fails road detection...
This paper introduces a high accuracy coregistration method for synthetic aperture radar (SAR) interferometry acquired in Terrain Observation by Progressive Scans (TOPS) mode. Due to the large variation of Doppler centroid frequency in azimuth, even a coregistration error of 0.01 pixels will result in a phase ramp of approximately 37° within one burst. Our method begins with a geometric coregistration,...
In the last three decades there have been many multi-frame image super-resolution (SR) algorithms proposed, but there are still many problems, such as edge blurring, artifacts are existing in the final reconstructed image, and many previous algorithms are sensitive to noise. This paper reviews some typical algorithms and addresses their limitations. In this paper, we propose super-resolution with...
Single image super-resolution (SR) generates a high-resolution (HR) image by estimating the mapping function between image patches of different resolutions. By leveraging the notion of regression, the mapping function estimation task is often transformed into predicting mapping function's derivatives. Although higher-orders of derivative lead to a more accurate mapping function, current algorithms...
Compressed sensing, as a novel framework, needs a small amount of characteristic datas to reconstruct the original datas and breakthroughs the limitation of the Nyquist sampling law, which effectively relieves the pressure of dealing with a large amount of datas in the practical application. But the noise reduction performance in traditional compressed sensing is very poor, in order to improve the...
Error-Control Coding (ECC) now plays an important role in wireless transceivers because it helps to increase link reliability and lower required transmit power. One popular problem of ECC implementation is the trade-off between high coding-gain and decoder's complexity. In this paper, we propose a serial concatenated ECC solution which is a combination of truncated-iteration layered-decoding LDPC...
A correctness analysis method of horizon detection result is present. Firstly, several small regions which take the points on the detected horizon as centers are selected equidistantly. Then gray variance, between-class variance and gradient information of each small region are calculated to judge whether it meets existence conditions of a horizon. Finally, the proportion of the number of the regions...
Falls have been a major health risk that diminishes the quality of life among the elderly. In this paper, we propose a new method using acceleration data and hidden Markov model (HMM) to detect fall events. A wearable device integrating a tri-axial accelerometer was used to collect acceleration data of human chest. Feature sequences (FSs) were extracted from the acceleration data and used as sequence...
We design a low energy Bluetooth (BLE) device including reference-tag-based indoor position algorithm to solve different situations including location determining, route guideline and tracking in this study. It can not only help the visitor or patient to understand the position but also provide a system for medical staff to monitor the safety of patients and new born babies in hospital. This device...
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