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The paper proposes a novel method for coding artifact reduction in compressed images. For removing blocking artifacts, a localized DCT-based filter with condition on the similarity between surrounding blocks is considered. To reduce ringing, a localized fuzzy filter is utilized to avoid the blurry effect of linear filter and painting-like effect of conventional fuzzy filter. To enhance chroma components...
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...
The Structural SIMilarity Measure (SSIM) combined with the sequential Monte Carlo approach has been shown [1] to achieve more reliable video object tracking performance, compared with similar methods based on colour and edge histograms and Bhattacharyya distance. However, the combined use of the structural similarity and a particle filter results in increased computational complexity of the algorithm...
The purpose of this article is to introduce the achievements reached with the Mojette Transform in recent years within our workgroup including from the simple description of the Mojette Transform and the Inverse Mojette Transform which originates form France to a theory of real time application. We introduced the benefits of the transform through its implementation in .Net environment. Describing...
We define a new reduced model to represent coloured images. We propose to use two components for a full definition of a colour instead of three. To that end we take advantage of the geometrical structure of the HCL conical colour space and approximate its circular base by a spiral. We thus write chroma as a function of hue. The resulting spiral is therefore defined by one parameter only. This parameter...
Recent trend of bigger and high resolution mobile display for smart-phone leads the needs of high performance of power saving technologies. Among those technologies, the representative technology is PenTile L6W technology which uses RGBW pixel and sub-pixel rendering algorithm. In this paper, the PenTile L6W and the other technologies are introduced. To achieve this power saving, display pixel structure...
In this paper, a real-time image segmentation algorithm is presented. It utilizes both color and depth information retrieved from a multi-sensor capture system, which combines stereo camera pairs with time-of-flight range sensor. The algorithm targets low complexity and fast implementation which can be achieved through parallelization. Applications, such as immersive videoconferencing and lecturer...
Depth Image Based Rendering (DIBR) is a technique to render virtual views from the video-plus-depth 3D scene representation. A common phenomenon in DIBR are disocclusions, i.e., unfilled areas that occur in the rendered views. The performance of disocclusion filling algorithms is usually only tested in terms of their ability of finding plausible fillings frame-by-frame. Time-consistency, however,...
Video fire detection system which uses a spatio-temporal covariance matrix of video data is proposed. This system divides the video into spatio-temporal blocks and computes covariance features extracted from these blocks to detect fire. Feature vectors taking advantage of both the spatial and the temporal characteristics of flame colored regions are classified using an SVM classifier which is trained...
Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze and fog. In this paper, we propose a novel fast defogging method from a single image of a scene based on the atmospheric scattering model. In the inference process of the atmospheric veil, the coarser estimate is refined using a fast edge-preserving smoothing approach. The complexity...
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, for reasonable yields we still need to accept some defect pixels and clusters of defects in large image sensors. In this paper we will compare compensation algorithms for raw image sensor data. We propose a new approach based...
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...
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detection systems. In this paper, we propose a highly efficient, effective and robust vision technique to detect checkout-related primitive activities, based on a hierarchical finite state machine (FSM). Our deterministic approach...
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimization problem and address it by solving a sparse linear system, which is able to yield a globally optimal solution. First, three classical image editing operations, including linear filtering, resizing and selecting, are reformulated...
In this paper, a cooperative system for target tracking for Omnidome is presented. Omnidome is a dual-camera sensor composed of an omnidirectional camera and a Pan-Tilt-Zoom (PTZ) unit. The tracking system is based on color histogram analysis, and is triggered by a motion detector; it has been designed in order to get the best performance when performing people tracking. The system is capable of extracting...
A new method for scale-aware saliency detection is introduced in this work. Scale determination is realized through a fast scale-space algorithm using color and texture. Scale information is fed back to a Discriminant Saliency engine by automatically tuning center-surround parameters. Excellent results are demonstrated for predicted fixations using a public database of measured human fixations. Further...
Nowadays, digital pictures are usually captured at very high resolution ranged up to 12 mega-pixels. Limited by low-resolution display, we have to shrink the image. Signal processing theory tells us that optimal decimation requires low-pass filtering with a suitable cut-off frequency followed by down-sampling. In doing so, we need to remove lots of details. Subpixel-based down-sampling, taking advantage...
Through our work we managed to operate a display which has 480×272 resolution and 16 bit color depth with an FPGA equipped with an sbRIO 9632 developer card. The program was written in LabView and rotates a cube. With this work we managed to rotate a cube in 3D, create a 2D image from it with central projection, and then visualize it on the display, all of this on FPGA. The connection between the...
In this paper, a new algorithm for dynamic vehicle license plate localisation is proposed on the basis of signature analysis and connected component analysis. Most existing techniques use low level features such as detection of colour and edges, these methods may have issues with reliability. The proposed algorithm however, aims to manipulate more accurate perceptual motion information. The camera...
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