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检索条件"任意字段=8th Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2012"

共 97 条记录，以下是21-30 订阅

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Digital restoration of damaged mural images 12

Digital restoration of damaged mural images

引用

8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Purkait, Pulak Chanda, Bhabatosh Indian Statistical Institute Kolkata India

ISBN: (纸本)9781450316606

Patch-based techniques are proven to generate promising results and outperform many of the existing state-of-art techniques for most of the applications in digital image processing. In this work we develop a patch based coherent texture synthesis technique. A patch-based anisotropic diffusion techniques combined with a novel high-frequency generating technique that can enhance line/brush strokes is also proposed. though these techniques can be applied to many different image processing applications, here we have limited ourselves in the application to interactive digital mural painting recovery/restoration. Some empirical and practical evidence for its high quality texture synthesis and restoration for mural paintings are also presented. the experimental results show the effectiveness of the proposed algorithm. © 2012 ACM.

关键词： Restoration

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Joint MAP estimation for blind deconvolution: When does it work? 12

Joint MAP estimation for blind deconvolution: When does it w...

引用

8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Rameshan, Renu M. Chaudhuri, Subhasis Velmurugan, Rajbabu Dept. of Electrical Engineering Indian Institute of Technology Bombay Mumbai India

ISBN: (纸本)9781450316606

Blind deconvolution aims at reconstructing an image from its blurred and noisy version, when the blur kernel is not known. It has been acknowledged that the naive maximum aposteriori probability (MAP) algorithm favors a no-blur solution [3]. In [8] the failure of the direct MAP approach is addressed and it is proved that a simultaneous MAP estimation of the image and the point spread function (PSF) fails, providing a trivial solution. In contrast, we show that an appropriate choice of PSF prior during joint MAP estimation does provide a non-trivial solution. We provide the feasible range for the PSF regularization factor which would prevent a trivial solution. © 2012 ACM.

关键词： Optical transfer function

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Vote based correspondence for 3D point-set registration 12

Vote based correspondence for 3D point-set registration

引用

8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Kulkarni, Neeraj A. Kumar, Subodh Department of Computer Science and Engineering Indian Institute of Technology Delhi India

ISBN: (纸本)9781450316606

Given two views of a static scene, estimation of correspondences between them is required for various computer vision tasks, such as 3D reconstruction and registration, motion and structure estimation, and object recognition. Without loss of generality, this paper treats the correspondence-estimation problem in the context of feature-based rangescan registration of widely separated views and presents a novel approach to obtain globally consistent set of correspondences. In this paper, we define the notion of a weak feature, and follow the approach that avoids early commitment to the "best" match. It instead considers multiple candidate matches for each feature, and eventually models and solves correspondence-estimation as an optimization problem viz. weighted bipartite matching. We focus on developing a robust approach that suceeds in the presence of significant noise and sparsity in the input. © 2012 ACM.

关键词： Object recognition

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How do warm colors affect visual attention? 12

How do warm colors affect visual attention?

引用

8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Pal, Rajarshi Mukherjee, Jayanta Mitra, Pabitra Institute for Development and Research in Banking Technology Hyderabad India Indian Institute of Technology Kharagpur India

ISBN: (纸本)9781450316606

Red, orange and yellow are termed as warm colors. A study regarding role of warm colors on visual attention is reported in this paper. Distributions of chromatic features (hue and saturation) are found to be different for warm colors that draw attention and those do not. It is observed that likelihood of drawing attention by a warm color depends on both of its hue and saturation component. Interestingly, this dependency is not related to the absolute hue and saturation, but relative to these chromatic components of other warm color pixels. Warm colors with hue relatively closer to red and/or higher saturation are more likely to guide attention. © 2012 ACM.

关键词： Color

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A biologically inspired saliency model for color fundus images 16

A biologically inspired saliency model for color fundus imag...

引用

10th indian conference on computer vision, graphics and image processing (icvgip)

作者： Rangrej, Samrudhdhi B. Sivaswamy, Jayanthi IIIT Hyderabad CVIT Hyderabad Andhra Pradesh India

ISBN: (纸本)9781450347532

Saliency computation is widely studied in computer vision but not in medical imaging. Existing computational saliency models have been developed for general (natural) images and hence may not be suitable for medical images. this is due to the variety of imaging modalities and the requirement of the models to capture not only normal but also deviations from normal anatomy. We present a biologically inspired model for colour fundus images and illustrate it for the case of diabetic retinopathy. the proposed model uses spatially varying morphological operations to enhance lesions locally and combines an ensemble of results, of such operations, to generate the saliency map. the model is validated against an average Human Gaze map of 15 experts and found to have 10% higher recall (at 100% precision) than four leading saliency models proposed for natural images. the F-score for match with manual lesion markings by 5 experts was 0.4 (as opposed to 0.532 for gaze map) for our model and very poor for existing models. the model's utility is shown via a novel enhancement method which employs saliency to selectively enhance the abnormal regions and this was found to boost their contrast to noise ratio by similar to 30%.

关键词： Colour fundus image diabetic retinopathy (DR) saliency spatially-varying morphology gaze map selective-enhancement

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3DTV view generation with virtual pan/tilt/zoom functionality 12

3DTV view generation with virtual pan/tilt/zoom functionalit...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Sharma, Mansi Chaudhury, Santanu Lall, Brejesh Department of Electrical Engineering Indian Institute of Technology Delhi Hauz Khas 110016 India

ISBN: (纸本)9781450316606

this paper presents a novel rendering algorithm based on depth image warping to support virtual pan-tilt-zoom (PTZ) functionalities during 3D view generation. A method based on "3D-ness" knob is proposed for automatically specifying the virtual camera positions along a path, to model the PTZ mechanism in projective framework. Two novel quality enhancing techniques based on segmentation cues are proposed to add pan, tilt and zoom capabilities during arbitrary view synthesis. In addition to reduce the computational load that results in providing such functionalities, a novel selective warping scheme is presented to reduce the computational cost by as much as 40% while maintaining an acceptable quality of rendering results. Experiments are performed using standard "Breakdancers" and "Ballet" video sequences to demonstrate the effectiveness of the proposed methods as compared to currently published results. © 2012 ACM.

关键词： three dimensional computer graphics

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Accurate reconstruction of engineered models with surfaces of revolution 12

Accurate reconstruction of engineered models with surfaces o...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Gupta, Nithi Kumar, Subodh Indian Institute of Technology Delhi New Delhi India

ISBN: (纸本)9781450316606

Scanners and other acquisition devices are commonly used to capture shapes of real objects as point clouds. Piecewise linear approximations of point clouds are then obtained by reconstruction algorithms. Generic reconstruction algorithms rely on assumptions like smoothness, uniform or dense sampling, etc. In general, they are unable to precisely regenerate salient features of the underlying model like edges and corners. We restrict our focus to engineered models that are formed by components having simple analytically defined shapes like planes, surfaces of revolution and extrusion. We employ a parameterization that allows linearization of constraints to recover these shapes. the regularity and relationships of the components are exploited to reconstruct the accurate shape with sharp edges from highly noisy point clouds. © 2012 ACM.

关键词： computer aided design

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A stochastic image denoising algorithm using 3-D block filtering under a non-local means framework 12

A stochastic image denoising algorithm using 3-D block filte...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Pai, Sreekanth G. Jiji, C.V. Department of Electronics and Communication College of Engineering Trivandrum Kerala 695016 India

ISBN: (纸本)9781450316606

In this paper, we propose an iterative approach for image denoising using random sampling and 3-D transforms. To denoise an image block first we form an array of similar blocks followed by a sparse 3-D transform. thresholding in 3-D transform domain followed by non-local means approach reconstructs the denoised image block. By processing all overlapping blocks and aggregating them using suitable weights we obtain the denoised estimate. To measure the completeness of the denoising process we apply a robust median estimator to estimate the output noise. the above steps are iterated till the output noise is minimum. By comparing with the state-of-the-art algorithms, we show that the proposed method outperforms the competing algorithms in terms of PSNR, structural similarity index and visual similarity. © 2012 ACM.

关键词： image denoising

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Steganographic algorithm based on parametric discrete cosine transform 12

Steganographic algorithm based on parametric discrete cosine...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Boorla, Chandrakanth Dutta, Tanima Sur, Arijit Dept. of Computer Science and Engineering Indian Institute of Technology Guwahati India

ISBN: (纸本)9781450316606

Self calibration based blind attacks are quite accurate to detect JPEG domain steganography. Efficient prediction of cover image statistics from its stego version is an important requirement in calibration based attacks. Domain separation i.e. separating embedding domain from the steganalytic domain, is used as a countermeasure against such calibration based attacks because it complicates the cover image prediction process. Most of the domain separation techniques in the recent past are based on randomization of embedding location. In this paper, a new domain separation technique is proposed which is based on parametric discrete cosine transform. In the proposed scheme, image transformation is randomized to separate embedding domain from the steganalytic domain. A comprehensive set of experiments is carried out to justify its applicability and evaluate its performance against JPEG domain steganalyis. © 2012 ACM.

关键词： Calibration

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Accelerating non-local denoising with a patch based dictionary 12

Accelerating non-local denoising with a patch based dictiona...

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8th indian conference on computer vision, graphics and image processing, icvgip 2012

作者： Bhujle, Hemalata Chaudhuri, Subhasis Vision and Image Processing Lab. Department of Electrical Engineering Indian Institute of Technology Bombay Powai Mumbai India

ISBN: (纸本)9781450316606

Nonlocal means (NLM) image denoising algorithm is not feasible in many applications due to its high computational cost. High computational burden is due to the search of similar patches for each reference patch in the entire image. In this paper, we present a novel technique of preselecting and grouping the similar patches in the form of a dictionary and hence speeding up the computation of NLM denoising method. We build a dictionary only once, with a set of training images of all possible classes of objects, in which patches with similar photometric structures are clustered together. For each noisy patch, similar patches are searched in the global dictionary. In contrast with previous NLM speedup strategies, our dictionary building approach preclassifies similar patches with the same distance measure as used by NLM method. We achieve a substantial reduction in computational time than the original NLM method especially when search window of NLM is large, without much affecting the PSNR. the proposed algorithm is shown to outperform other prefiltering based fast NLM algorithms computationally as well as qualitatively. © 2012 ACM.

关键词： image denoising

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