BieColl - Bielefeld Electronic Collections
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1004 research outputs found
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Intelligent modification for the daltonization process of digitized paintings
Full text linkDaltonization is a procedure for adapting colors in an image or a sequence of images for improving the color perception by a color-deficient viewer. In this paper an intelligent/enhanced daltonization method for individuals suffering from protanopia is proposed. The algorithm implements logical image masking in order to modify the colors that are confused and to preserve those colors that are perceived correctly. The proposed method modifies iteratively the parameters for image daltonization after the provision of the initial conditions. The distinctive characteristic of the proposed approach is that when it is combined with a color-checking module, optimum daltonization parameters are effectively identified. Examples are provided in details, as well as screenshots from the algorithm when it is applied in digitized paintings/artworks
Pop-out and IOR in Static Scenes with Region Based Visual Attention
Full text linkThis paper proposes a novel approach to construct the saliency map by combining region-based maps of distinct features. The multiplication style feature fusion process in the natural visual attention is modelled as weighted average of the features under influence of the external top-down and the internal bottom-up inhibitions. The recently discovered aspect of feature-based inhibition is also included in the procedure of IOR along with the commonly implemented spatial and feature-map based inhibitions. Results obtained from the proposed method are compatible with the well known attention models but with the advantages of faster computation, direct usability of focus of attention in machine vision, and broader coverage of visually prominent objects
Radiometric alignment and vignetting calibration
Full text linkThis paper describes a method to photometrically align registered and overlapping images which have been subject to vignetting (radial light falloff), exposure variations, white balance variation and nonlinear camera response. Applications include estimation of vignetting and camera response; vignetting and exposure compensation for image image mosaicing; and creation of high dynamic range mosaics. Compared to previous work white balance changes can be compensated and a computationally efficient algorithm is presented. The method is evaluated with synthetic and real images and is shown to produce better results than comparable methods
Tracking Nuclear Material at Low Frame Rate and Numerous False Detections
Full text linkIn Nuclear Safeguards, surveillance cameras monitor the correct processing of nuclear material. Nuclear inspectors are faced with tens of thousands of images to review, of which less than 1% is significant. Besides the reduction of the standard two-frame differencing filter, we further limit the image set to review by tracking on the distribution of image time-stamps. Traditional visual tracking cannot be applied, owing to the low frame rate, and the need for compatibility with the standard change detection algorithm. Our algorithm is based on a HMM model of the nuclear process, and handles multiple flasks and observations available only when the flasks are moved. The model makes use of descriptive statistics of the durations of processing stages to refine the HMM predictions