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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...
Commonly, in the citrus industry in Mexico, fruit grading is performed by humans through visual inspection. Manual inspection implies several problems in maintaining grading consistency and sorting uniformity. Citrus classification is normally achieved based on external visible criteria, such as size, shape and color. This problem has been addressed using computer vision algorithms, but an automatic...
Drivable path detection is an important factor to consider for a successful development of autonomous robot which is characterized as an intelligent vehicle. Researchers using different vision-based techniques have achieved remarkable result toward drivable path detection. Regardless of this achievement, environmental noise such as rain and/or snow can cause misdetection of drivable path which can...
This paper presents a comparative study of the segmentation of satellite images in RGB and HSV color space using modified fuzzy c means clustering algorithm. The segmented images are compared with the original input images by using number of bivariate image quality parameters. These parameters measure the similarity between the input and the segmented image on the basis of comparing the corresponding...
This paper presents the underlying theory and the performance of a cluster using a new 2-hop network topology. This topology is constructed using a symmetric equation and Singer Difference Sets and is called SymSig. The degree of connections at each node with SymSig is about half compared to previous methods using Singer Difference Sets. A comparison with a cluster of Clos topology shows significant...
Image matting is a process of separating the foreground objects from an image along with opacity values for each pixel. It is an under-constraint problem hence a user interaction is required to identify the definite foreground, background and semi-transparent pixels. In general the information in the definite foreground and background regions is modeled locally to estimate the foreground and background...
Image characteristics, such as texture, edge, smoothness, can be much better preserved by using nonlocal differential operators based on patch-distances in image processing. In this paper, we apply with nonlocal differential operators to some existing variation models of Retinex, such as the nonlocal variation model of Retinex (NL_VR); the nonlocal TV regularized model (NL_TV_R) and the nonlocal total...
The captured images in the frog climatic condition are often blurred and will degrade the performance of the video surveillance system. In order to meet the real-time requirements of video image defogging, this paper proposes a fast video image defogging algorithm based on the dark channel prior. Firstly, atmospheric light value is estimated by more reasonable way. Secondly, the tolerance mechanism...
This paper presents a new single image dehazing algorithm using dark channels with global transmission. The existing algorithms using dark channels cannot deal well with the scene in which objects are inherently similar to the atmospheric light and no shadow is cast on them. In order to eliminate the limitation, we use the positive depth of field prior and the global dynamic template instead of local...
Image Matting is the key technology in image processing, video editing, and film-making applications. With the fast development of modern information technology, image matting has gained increasing interests from both academic and industrial communities. So what is Image Matting? And, What's the Role of Image Matting in Image Segmentation? In this paper, we will try to give a comprehensive and constructive...
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