In this paper, we present a novel approach to image-based rendering (IBR) that for generates an arbitrary view image with arbitrary focus for a scene consisting two approximately constant depths. The presented method ...
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ISBN:
(纸本)0819450235
In this paper, we present a novel approach to image-based rendering (IBR) that for generates an arbitrary view image with arbitrary focus for a scene consisting two approximately constant depths. The presented method differs from the conventional IBRs using multiple view images in that we acquire two differently focused images at each camera position and render parallax and focus effects on each object simply by linear filtering of the acquired images without segmentation. Experimental results on the real images acquired with 4 cameras located in parallel are presented.
An image fusion is a process used to increase the visual interpretation of images in various applications. It integrates the necessary features of two or more images into a single image without introducing artifacts. ...
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ISBN:
(纸本)9781509044429
An image fusion is a process used to increase the visual interpretation of images in various applications. It integrates the necessary features of two or more images into a single image without introducing artifacts. The traditional image fusion methods are generally successful at inserting spatial detail into the multispectral imagery despite the color information in the mechanism is distorted. The significant amount of research has been conducted over the past decade related to the application of wavelet transforms in image fusion. Wavelets have gained a lot of importance due to its energy compaction and multiresolution properties. This paper presents the overview of image fusion technique and the results from a number of wavelet-based image fusion schemes are compared.
image retrieval and image compression are both very active fields of research. Unfortunately, in the past they were pursued independently leading to image indexing methods being both efficient and effective but restri...
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ISBN:
(纸本)0819444111
image retrieval and image compression are both very active fields of research. Unfortunately, in the past they were pursued independently leading to image indexing methods being both efficient and effective but restricted to uncompressed images. In this paper we introduce an image retrieval technique that operates in the compressed domain of vector quantised images. Vector quantisation (VQ) achieves compression by representing image blocks as indices into a codebook of prototype blocks. By realising that, if images are coded with their own VQ codebook then much of the image information is contained in the codebook itself, we propose the comparison of the codebooks, based on a Modified Hausdorff distance, as a novel method for compressed domain image retrieval. Experiments, based on an image database comprising many colourful pictures show this technique to give excellent results, outperforming classical colour indexing techniques.
In this paper we present a method of creating domain-based multiple descriptions of images and video. Descriptions are created by partitioning the domain of the signal into sets whose points are maximally separated fr...
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ISBN:
(纸本)0819444111
In this paper we present a method of creating domain-based multiple descriptions of images and video. Descriptions are created by partitioning the domain of the signal into sets whose points are maximally separated from each other. This property enables simple error concealment methods to produce good estimates of lost signal samples. We present the approach in the context of Internet transmission of subband-coded images and scalable motion compensated 3-D subband-coded video, but applications are not limited to these scenarios.
This paper presents a new filtering scheme for the removal of impulsive noise in multichannel images. It is based on estimating the probability density function for image pixels in a filtering window by means of the k...
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ISBN:
(纸本)0819450235
This paper presents a new filtering scheme for the removal of impulsive noise in multichannel images. It is based on estimating the probability density function for image pixels in a filtering window by means of the kernel density estimation method. The filtering algorithm itself is based on the comparison of pixels with their neighborhood in a sliding filter window. The quality of noise suppression and detail preservation of the new filter is measured quantitatively in terms of the standard image quality criteria. The filtering results obtained with the new filter show its excellent ability to reduce noise while simultaneously preserving fine image details.
We propose a residual-consensus driven linear matching algorithm for simultaneous geometric parameter and point correspondence estimation. Using the linearization technique, we quantize geometric transformation into d...
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ISBN:
(纸本)9781467373142
We propose a residual-consensus driven linear matching algorithm for simultaneous geometric parameter and point correspondence estimation. Using the linearization technique, we quantize geometric transformation into discrete levels with regard to each correspondence matrix. We identify the uncontaminated models by evaluating the statistical coherent of residual ordering and Maximum mean discrepancy (MMD) test. The uncontaminated models provide the optimal quantization coefficients for each assignment matrix of our linear programming model. Experiment results on a variety of images demonstrate our method effectiveness and robustness.
In this paper(1), a further study based on the results of [4] is conducted to accomplish a near-optimum design of stream-shuffling and error concealment for error-resilient transmission of wireless video. In particula...
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ISBN:
(纸本)0819444111
In this paper(1), a further study based on the results of [4] is conducted to accomplish a near-optimum design of stream-shuffling and error concealment for error-resilient transmission of wireless video. In particular, a two-phase stream-shuffling scheme is systematically scheduled in conjunction with embedded channel codes, while a new error detection method and adaptive error concealment algorithm are contrived to effectively mitigate the effects of residual errors on visual quality. Comparison with the algorithms proposed in [4], the new methodology may provide better understanding of optimum design of stream-shuffling in a systematic way, which yielding improved performance in wireless video communication.
In this paper, we analyze some properties of the orthogonal Gaussian-Hermite moments and propose a new method to detect the moving objects using the orthogonal Gaussian-Hermite moments. For the segmentation of moving ...
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ISBN:
(纸本)0819452114
In this paper, we analyze some properties of the orthogonal Gaussian-Hermite moments and propose a new method to detect the moving objects using the orthogonal Gaussian-Hermite moments. For the segmentation of moving objects in such moment images, we propose the fuzzy relaxation method (FRM) and 3D morphological relaxation method (3DMRM). The experiment results are reported, which show the robustness of our methods.
A new video method which performs well in the segmentation of images containing multiple independently moving foreground objects is presented. It combines the strong points of both color and motion segmentation in the...
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ISBN:
(纸本)0819450235
A new video method which performs well in the segmentation of images containing multiple independently moving foreground objects is presented. It combines the strong points of both color and motion segmentation in the way expected, while the algorithm is still of such a low complexity that it could be implemented in consumer electronics hardware. Performing the motion based block resolution segmentation before refining it with pixel resolution color segmentation does provide several advantages.
In this study, we propose a new multi-frame method to compute a smooth and boundary preserving optical flow estimate. The approach is based on the bilateral filtering, a fast edge preserving smoothing tool. Inspired b...
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ISBN:
(纸本)0819452114
In this study, we propose a new multi-frame method to compute a smooth and boundary preserving optical flow estimate. The approach is based on the bilateral filtering, a fast edge preserving smoothing tool. Inspired by the variational origin of the bilateral filter, we construct an energy functional that takes into account the image brightness conservation constraint and the bilateral smoothness of the optical flow. Minimization of this energy functional is performed using the Gauss Seidel iterations. Experimental results on synthetic and real image sequences demonstrate that the proposed approach yields an optical flow that is smooth and yet motion boundary preserving.
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