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Location-based services are widely used in the Internet services. The method of location cloaking is used to effectively protect the user's location privacy. The current cloaking algorithm does not take into account the regional characteristics, such as population density, popularity level and so on, based on which an attacker can often infer user's exact location from their cloaking area. In this...
A low-complexity, interlacing-artifact-aware de-interlacing algorithm which can efficiently remove interlacing artifacts from a video sequence before encoding is presented in this paper. The proposed algorithm detects the areas where interlacing artifacts occur and de-interlaces only those detected areas within a frame. It bypasses areas unaffected by artifacts. The proposed de-interlacing algorithm...
In this paper, we propose an adaptive de-interlacing algorithm that is based on the degree of local complexity. Conventional intra-field de-interlacing methods which achieve good performance in terms of image quality have also higher computational burden; in addition, they show the different performance according to the ways of finding the edge direction. To develop a low-complexity de-interlacing...
The goal of image segmentation is to cluster pixels into salient image regions, it is the most significant step in image analysis. Thresholding is a simple but effective tool to separate objects from the background, which is one of the most popular algorithms. The artificial bee colony algorithm (ABC) is a recently presented meta-heuristic algorithm, which has been successfully applied to solve many...
One important issue in phase shifting interferometry is to eliminate or compensate for phase shift errors. Based on this fact, an efficient iterative least-squares algorithm to extract phase distributions from unknown reference phases is proposed. Its' validity and performances have been investigated by numerical simulation.
To better protect the security of information, this paper proposed an information transmission scheme which combined the cryptosystem and information hiding. The scheme pretreated the information firstly by making use of the RSA arithmetic which belongs to the public key cryptosystem, and then took advantage of the improved LSB which based on the Human Visual System to make the cryptograph hid in...
The present work analyses a layered depth-image-based-rendering algorithm based on possible errors occurring with perspective 3D warping. The outcome is improvements to the algorithm that treats depth reliably for scenes containing several levels of foreground objects. The filling of holes of different kinds is addressed so that results have better visual quality. The analysis compares the results...
For lung tissue adhesion of the situation in the lung CT images, based on the classical watershed algorithm, this introduce line-encoded ideology, use contour tracing method to determine adhesion region segmentation points, according to segment code to get the split line, thus separating the adhesion region. Experimental results show that this method will be effective in the lung adhesion region segmentation,...
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by subjecting the input image to an adaptive clustering scheme for initial region formation. Following this, a vector field approach is employed to split regions comprising of strong edges. Subsequently, all spatially independent...
Search patterns and the center-biased characteristics of motion vector distribution have large impact on both searching speed and quality of block motion estimation. In this paper, we propose a new cross-hexagon search algorithm (NCHEXS) using two cross-shaped search patterns as the first two initial steps and large/small hexagon-shaped patterns as the subsequent steps for fast block motion estimation...
Image contrast enhancement methods play a key role in many image processing and vision applications. For surveillance applications, real-time contrast improvement over the whole image is required when videos are taken in poor lighting conditions. It is also necessary to highlight details in shadowed regions without introducing artifacts. In this paper, several state-of-the-art contrast enhancement...
The paper presents a lossless coding method based on predictor blending approach that codes nine widely used benchmark images with the lowest average bitrate ever published. At the same time the algorithm is more time efficient than its most important competitors: TMWLEGO, MRP 0.5, and Multi-WLS. A set of 20 blended predictors is applied, including adaptive RLS/OLS ones, ALCM, CoBALP, and a texture...
Openings constitute one of the fundamental operators in mathematical morphology. They can be applied to a wide range of applications, including noise reduction and feature extraction and enhancement. In this paper, we introduce a new, efficient and adaptable algorithm to compute one dimensional openings along discrete lines, in arbitrary orientation. The complexity of this algorithm is linear with...
In this paper, we describe a novel error diffusion scheme for higher halftone quality with less visual artifacts. The proposed algorithm improves mid-tone quality of error diffusion significantly by diffusing the error along a jumping scanning path. The algorithm calculates the accumulative error to determine the point where breaks up the scanning path. A cost function is developed to search the optimal...
The paper proposes an improved graph-based image segmentation algorithm. We introduce a new merging mechanism based on minimum region size. The mechanism not only limits the minimum region size but also avoids very large regions which may cause over-merging. We can obtain better segmentation results utilizing our method which highlights the characters of single object and is more applicable for image...
In this paper, we explore the segmentation performance of four state-of-the-art unsupervised over-segmentation methods by evaluating the quality of over-segments. To achieve this goal, we design a novel real-time evaluating framework, this method is integrating the classical goodness methods and our proposed new discrepancy method based on real-time boundary extraction, which is able to suppress the...
Integral image becomes a very useful tool in most of the computer vision applications in recent years, and the parallelization strategy is the most popular approach for efficiently generating the integral image. However, most of current parallel integral image generation algorithms are developed based on the dedicated hardware architecture. In this paper, we developed a parallel integral image generation...
This paper proposes a cyclic load balancing strategy to parallel Fuzzy C-Means cluster analysis algorithm. The problem is to minimize the total time cost and maximize the parallel processing efficiency when a subset of clusters is distributed over a set of processors cores on shared memory architecture. The parallel Fuzzy C - Means (FCM) cluster analysis algorithm is composed by two distinct parts...
This paper presents a multi-temporal Stochastic Expectation-Maximization (SEM) algorithm with adaptive Markov Random Field (MRF) for analysis of polarimetric SAR (PolSAR) data for urban land cover mapping. The fitness of alternative distributions of multi-look PolSAR data based on Wishart, G0p and Kp assumptions are compared by using the SEM algorithm. The proposed pixel-based SEM algorithm explores...
This paper suggests an improved segmentation of remote sensing images based on watershed algorithm to reduce the over-segmentation of the watershed transform. Taking into the characteristics of remote sensing, remote sensing images were filtered using a fast peer group filtering (PGF). Then do watershed transform on the multi-scale morphological gradient image and merge regions by grey similarity...
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