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Communication between devices and data through networks have been increasing drastically in the past few decades. Encryption of data provides high level of security. This paper presents a median based technique for selective encryption where partial data of image is encrypted based on pixel values. An encrypted mask of the image is also appended with the image that specifies the pixels that are encrypted...
In order to minimize the processing time and maintain the color palette, simplify the processing of, our research category the available colors into primary color the colors from the photographic processing by Error Diffusion, the research will use the color space HSL as color model to build the error diffusion application which designed for available and limited colors to making fine arts such as...
This paper proposes a novel scheme to save the usage of ink or toner by an approximate-K algorithm for color printers. Existing printers use the mixtures of three color toners(C, M and Y) to print all the pixels for color images, and it makes color printing cost 4-4.5 times more expensive than monochromic printing. Since human eyes are not sensitive to distinguish neighboring colors in the color space,...
Color detection is generally a primary stage in most of the image processing application, if the application is based on the color information, such as road sign detection, face detection, skin color detection, object detection and object tracking etc. As the performance of subsequent modules in an image processing application is adversely affected by the previous modules, the accuracy of color detection...
Smoke is emitted from biomass burning every year. It affects regional air quality and long-term climate and is an important factor for fire detection of remote Sensing. An improved smoke plume detection method based on Kmeans clustering and multi-spectral threshold analysis is described in this paper. The threshold method has been developed with moderate-resolution imaging spectroradiometer (MODIS)...
Computer simulation for improving the liquid crystal display optical performance includes the one-dimensional (1-D) simulation, the two-dimensional (2-D) or sometimes three-dimensional (3-D) simulation. This paper describes the liquid crystal display optics and computer simulation methods.
We present a multi-view 3D video acquisition and its processing system for multi-view 3D television (3DTV). The proposed hybrid camera system consists of three-color cameras and one time of flight (TOF) camera. Since currently available TOF cameras do not provide color images associated with the depth image, we use a beam splitter between the color camera of the center view and the TOF camera to minimize...
We propose an effective virtual view synthesis approach, which utilizes the technology of depth-image-based rendering (DIBR). In our scheme, two reference color images and their associated depth maps are used to generate the arbitrary virtual viewpoint. Firstly, the main and auxiliary viewpoint images are warped to the virtual viewpoint. After that, the cracks and error points are removed to enhance...
Virtual view synthesis has been considered as a crucial technique in three-dimensional television (3DTV) display, where depth-image-based rendering (DIBR) is a key technology. In order to improve the virtual image quality, a method without preprocessing the depth image is proposed. During the synthesis, the hole-flag map is fully utilized. A Horizontal, Vertical and Diagonal Extrapolation (HVDE) using...
We present a new method for fully automated video matting. This method uses depth information acquired by a depth camera to automatically compute trimaps. Trimaps segment an image into three nonoverlapping regions (foreground, background, and unknown) and generation of a highly accurate trimap is one of the most important tasks in natural alpha matting. We propose an adaptive approach to generate...
We propose a novel method to automatically detect and extract the video modality of the sound sources that are present in a scene. For this purpose, we first assess the synchrony between the moving objects captured with a video camera and the sounds recorded by a microphone. Next, video regions presenting a high coherence with the soundtrack are automatically labelled as being part of the source....
Most of the current digital cameras feature a single sensor design which limits the number of channels recorded at each pixel location to one. However, a color image is represented with three channels for each pixel. Color Filter Array (CFA) interpolation is the process of generating a full three channel color image from a single channel mosaicked input. We propose a simple edge strength filter to...
Single sensor digital cameras capture one color value for every pixel location. The remaining two color channel values need to be estimated to obtain a complete color image. This process is called demosaicing or Color Filter Array (CFA) interpolation. We propose a directional approach to the CFA interpolation problem that makes use of multiscale color gradients. The relationship between color gradients...
We propose a new approach to motion segmentation that is based on auto-generated strokes. The novelty of the approach is twofold. First, inspired by recent work of other researchers we formulate the problem as that of interactive segmentation. Instead of inputting the strokes by the user, the strokes in our approach are auto-generated. The second novelty of the paper is formulation in which, unlike...
This paper proposes a system to relate objects in an image using occlusion cues and arrange them according to depth. The system does not rely on any a priori knowledge of the scene structure and focuses on detecting specific points, such as T-junctions, to infer the depth relationships between objects in the scene. The system makes extensive use of the Binary Partition Tree (BPT) as the segmentation...
View synthesis offers a great flexibility in generating free viewpoint television (FTV) and 3D video (3DV). However, the depth-image-based view synthesis approach is very sensitive to errors in the camera parameters or poorly estimated depth maps (also called depth images). Because of these errors, three kinds of artifacts (blurring, contour, hole) are possibly introduced during the general synthesis...
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we develop a new frame design, Incoherent Color Frames (ICF), which can include an arbitrary number of incoherent color vectors. An ICF frame possesses key desired properties including the ability to sparsify colors in 3D and to...
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point process framework. We apply it for the size estimation of a penguin colony, where we model a penguin colony as an unknown number of 3D objects. The main idea of the proposed approach is to sample some candidate configurations...
This paper presents a Markov Random Field (MRF)-based approach for depth map super-resolution and enhancement. Given a low-resolution or moderate quality depth map, we study the problem of enhancing its resolution or quality with a registered high-resolution color image. Different from the previous methods, this MRF-based approach is based on a novel data term formulation that fits well to the unique...
The problem of shadow detection is a challenging assignment in video surveillance systems. There are plentiful research achievements about shadow detection but they are not intellective owning to abundant manual input. In this paper, we describe a semi-supervised ensemble technique based on adaboost classifiers in a co-training framework. In this way to detect shadows just demand a fraction of labled...
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