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Modern techniques rely on convex relaxation to derive tractable approximations for rank-sparsity decomposition. However, the resultant precision loss usually deteriorates the performance in real-world applications. In this paper, we focus on the topic of visual saliency detection and consider the inherent uncertainty existing in observations, which may originate from both low-rank and sparse components...
The overall method used for determining disparity in a stereo setup is a widely recognized framework consisting of four steps of cost space computation, cost aggregation, disparity selection, and post-processing. In this paper a cost aggregation approach for a typical local disparity estimation method is introduced. The method introduced is built on top of an existing method called Adaptive Support-Weight...
Here, we turn our attention to factor graphs and examine their message passing properties for image processing tasks. To this end, we focus on the maximum a posteriori (MAP) inference process in multi-layered graphs and exploit the ability of factor graphs to capture subtle interactions between image tokens, i.e. pixels, super pixels, features, etc. This leads to a general, yet simple belief propagation...
In this paper, we propose the method for recognizing the degree of snowfall automatically even if most of backgrounds are covered with snow and the visibility is low by fog. When it snows heavily, fog often occurs simultaneously. Moreover, falling snow grains have low contrast to the background covered with white snow. In order to deal with these situations, the proposed method makes an input image...
The main contributions of this paper are an automated approach for applying the ABCDE rules in a digital dermoscopy platform with fixed settings and a new registration method specially designed for aligning and comparing follow-up digital dermoscopy images in order to evaluate the evolution over time parameter E. Experimental evaluations of the registration method are reported for image pairs acquired...
COSMO-SkyMed (CSK), a constellation composed of four Italian satellites equipped with X-band high-resolution SAR sensors, could capture the damage situation from the typhoon Haiyan throughout the event in spite of the frequent cloud cover condition. This study performs the investigation on the devastation in Tacloban City using a Multitemporal Correlation (MTR) map. Then calculate the Hyperboloid...
High performance visualization has played an important role in computer-aided scientific discovery and has become an indispensable tool for computational scientists. Sort-last parallel rendering is a proven approach for visual data analytics by extracting meaningful information from huge data sets generated from large scale scientific computing. Image compositing is the last stage of sort-last parallel...
Visual saliency detection provides an alternative methodology to semantic image understanding in many applications such as region-based image retrieval and adaptive compression of images. In this paper, we propose an approach which utilizes both global and local cues to extract saliency information. Our method can achieve better performance than existing saliency detection methods in terms of precision...
Auto white balancing is the process of keeping the color of objects constant automatically under different illumination conditions by calculating a number of parameters from the image data. These parameters are used to change the image pixel values to keep the color constant. This paper discusses the Lam's auto white balance algorithm and presents a novel, high-performance and cost-effective implementation...
This paper presents a new decolorization approach using saliency including color and position information to maintain original contrast. Our approach includes three steps: (1) we propose a visual contrast model which quantifies saliency via pixel based contrast along with area based contrast, using both color difference and spatial relationship, (2) we put forward an energy function with the purpose...
Visual saliency detection has become a challenging area in computer vision. In this paper, we propose a novel region based saliency detection model which considers background priors. The proposed method consists of two successive steps — region weighting and contrast computing. In the step of region weighting, we calculate the region weight for each region by region-level image feature and a log-linear...
This paper studies the scale we choose for boundary detection. The common multi-scale method for detecting boundary requires the users to compute several scales of boundary on the whole image, train the coefficients as the weight of each scale's information, and combine the multi-scale boundary using the training weight. It has been proposed that human visual system evolved to be able to change the...
HDR synthesis using the minimal number of source images is crucial for real-time applications. This paper identifies the color distortion problem associated with the minimum of two source images, and proposes a solution using the virtual frame composed in the pixel domain. Experimental results demonstrate satisfactory results.
In this paper, a digital image sharpening algorithm is presented by using Riesz potential. First, the definition of Riesz potential is reviewed briefly. Then, the sharpened image is obtained by adding the original image to the scaling Riesz potential of image. Finally, the gray-level and color digital images are used to show the effectiveness of the proposed digital image sharpening method based on...
In the presented paper, we give two feature-based segmentation methods of a digital image such as a photo or a scanned document for sanitizable signatures. Since the image must be partitioned into multiple segments before one is signed, we focus on features such as faces in photos and characters in scanned documents. Our methods divide the photo image into segments with the same pixel value and the...
In this paper, a fast and accurate algorithm to distinguish between open and closed eye is proposed. In the proposed approach, we use a fast and accurate preprocessing stage based on Haar features to detect the face area, color and intensity mapping to extract the eye candidate areas, and some simple geometrical constraints for final approval of the eye area. Then, for detecting the eye state with...
Although the currently available digital cameras typically provide 256 levels of brightness data at each pixel, a real world scenes contains a very wide range of brightness variations. High Dynamic Range (HDR) images contain wider range of brightness information than a normal image and are a new trend in photography. In the conventional method multiple photographs of same scene are captured at different...
In this paper we introduce a novel approach for stereoscopic rendering of virtual environments with a wide Field-of-View (FoV) up to 360°. Handling such a wide FoV implies the use of non-planar projections and generates specific problems such as for rasterization and clipping of primitives. We propose a novel pre-clip stage specifically adapted to geometric approaches for which problems occur with...
In fractal compression the image to be encoded is partitioned into blocks called (ranges). Each range is coded by reference to some other part of the image called (domain) and by some affine transformation parameters. The number of ranges plays an important role in the compression ratio, encoding time and reconstructed image quality. In this paper, the fractal compression technique proposed by Jacquin...
A video signal is made of up ‘n’ number of frames. Frames per second gives the number of frames per second, hence 32 fps means there are 32 frames in one second. In video processing we have to process each frame one by one, but processing each frame would consume a lot of resources and time. Key frame is a frame in which there is a major change as compared to the previous frame. Hence instead of processing...
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