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Anomaly detection is one of the most important applications for hyperspectral images. In this paper, a new ensemble learning algorithm for anomaly detection in hyperspectral imagery is proposed, which integrates feature grouping and anomalous signal subspace estimation. Main contribution of the proposed algorithm consists in two aspects. First, feature grouping in original hyperspectral images are...
Forest type identification is one of most important contents of forest inventory. K nearest-neighbour algorithm has already proven their use in forest mapping. However, as the remote sensing data was large scale, the efficiency of processing based on KNN decreased seriously. Therefore, the study implemented a tool which could have the feature of fast processing multi-spectral data based on KNN. For...
In this work, a sample rate estimator is proposed for selective graphics rendering so that the samples are allocated such that the best perceived image quality can be achieved under a given sample budget. In the proposed estimator, the sample rate of a pixel is decided by not only the visual attention (VA) level of the region to which the pixel belongs but also the required rendering complexity (RC)...
Display application often requires a procedure to control panel brightness and decrease the power consumption for different environmental condition. The most of digital power saving (DPS) techniques are applied to determine the flexibility of content adjustment. By the characteristics of display, global brightness usually presents the intensity of power consumption and DPS technique is requested to...
In order to extract the regular interference contained in the multibeam echosounding and eliminate random noise, the novel Envelope Locally Weighted Best Estimation (ELWBE) and the improved NLMF (X-metric non local-mean filter, X-NLMF) methods are proposed. The experimental results show that ELWBE and X-NLMF can not only eliminate the random noise but also give the local optimal estimation on preserving...
Given a pair of images, a stereoscopic display should execute the image plane calibration, the depth map estimation, and the multiple views rendering to show a 3-D picture. Among all signal processing stages, the depth estimation is the most critical one. This paper presents a real-time depth map estimation algorithm as well as parallel software architecture based on a GPU processor. The experimental...
In mixed-resolution (MR) stereoscopic video, one view is presented with a lower resolution compared with the other one; therefore, a lower bitrate, a reduced computational complexity, and a decrease in memory access bandwidth can be expected in coding. The human visual system is known to fuse left and right views in such a way that the perceptual visual quality is closer to that of the higher-resolution...
This paper presents a method that jointly performs stereo matching and inter-view interpolation to obtain the depth map and virtual view image. A novel view synthesis method based on depth map layers representation of the stereo image pairs is proposed. The main idea of this approach is to separate the depth map into several layers of depth based on the disparity distance of the corresponding points...
Multi-view depth estimation is an important part in the virtual view synthesis and depth map coding within the 3DV/FTV applications. However, existing depth estimation methods generally have difficulty to generate good depth results around object edges or in areas with less texture. To solve this problem, we propose an improved algorithm to obtain a smooth and accurate depth map for view synthesis...
The demand for high quality depth maps from stereo and multi-camera videos increases constantly. The main application for these depth maps is rendering new perspectives of the captured scene by means of Depth Image Based Rendering (DIBR). Accurate depth maps are the linchpin of DIBR. On the basis of a four-camera set-up, we show that combining hybrid recursive matching with motion estimation, cross...
Particle filter has the advantage of processing nonlinear and non-Gaussian problems in complex motion estimation. This paper describes a new image recovery algorithm based on PSO (particle swarm optimization) Particle Filter. The PSO is introduced into particle filter to improve convergence speed and the capacity of particles moving to high likelihood area, thus high estimation accuracy of particles...
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose common objects are relatively displaced due to the positioning of vision sensors. In such scenarios the correlation model that relates the displacement between the objects is effectively represented by a disparity image....
Error resilient video coding critically relies on the accuracy of end-to-end distortion estimation. An established solution, the recursive optimal per-pixel estimate (ROPE), is based on tracking the first and second moments of the decoder reconstructed pixels. This paper is focused on an alternative estimation approach, the spectral coefficient-wise optimal recursive estimate (SCORE), whose recursion...
Stereo matching is an active area of research in image processing. In a recent work, a convex programming approach was developed in order to generate a dense disparity field. In this paper, we address the same estimation problem and propose to solve it in a more general convex optimization framework based on proximal methods. More precisely, unlike previous works where the criterion must satisfy some...
Global motion estimation is an important task for various video processing techniques. The estimation itself has to be robust in presence of arbitrarily moving foreground objects. For that task, two different kinds of estimation methods exist. On the one hand, pixel-based approaches deliver more precise results and work more robust on video sequences with foreground objects. On the other hand, when...
Hyperspectral imaging analysis aims at the estimation of the number of constituent substances, known as endmembers, their spectral signatures as well as their abundance fractions. Due to the nature of hyperspectral sensors, output data is mostly associated with correlated noise rather than with the white Gaussian noise considered in most of the analysis. In the presence of correlated noise, estimation...
Two dimensional human body pose modelling system detects the human body parts, estimates their posture and then models them in an image plane using specified shape. In this paper, two windowing techniques are presented and then compared for the human head and torso pose modelling. The first technique, namely Windowing technique I estimates the torso followed by the head of the human. In this technique,...
Multiview video coding (MVC) improves the coding efficiency by motion estimation (ME) and disparity estimation (DE). ME and DE at encoder side involve in heavy computation, which needs to be further reduced for practical applications. This paper presents fast disparity estimation by utilizing depth information to reduce DE's computational complexity. First, the coordinate offset of the encoding block...
An autonomous, efficient and effective object tracking algorithm was required to autonomously identify and track incoming targets. Then controlling a pan-tilt mounted with the sensing camera to accommodate the target within the camera's field of view and controlling a weapon mounted on the second mechanical pan tilt to lock the target and follow it efficiently and accurately. A hybrid algorithm is...
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