Wireless imaging is enabling visual communication "anytime anywhere" to become a reality. A key technical challenge is how to achieve best perceived image quality given the limited screen size and display bi...
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Wireless imaging is enabling visual communication "anytime anywhere" to become a reality. A key technical challenge is how to achieve best perceived image quality given the limited screen size and display bit depth of the mobile devices. We give an overview of the current capabilities of various mobile devices, highlight some of the technical issues, and present potential solutions. In addition, we present a review of some of the software products on the market and look ahead to the trend towards more capable devices.
Proposes an algorithm for improving the image quality of disparity-based intermediate view reconstruction by introducing a reliability measurement for disparity estimates. The reliability of disparity estimates is mea...
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Proposes an algorithm for improving the image quality of disparity-based intermediate view reconstruction by introducing a reliability measurement for disparity estimates. The reliability of disparity estimates is measured with a criterion based on a-posteriori probability of disparity estimates, in which the displaced image intensity difference and the variation of disparity estimates are taken into account. This reliability measurement is then integrated into an intermediate view reconstruction approach, which guides the recovery of disparity values in occluded areas and the reconstruction of the intermediate views. Experimental results with natural stereoscopic sequences show that the disparity reliability measurement is quite effective. The proposed algorithm improves the image quality of reconstructed intermediate views.
A measure is developed for comparing complex scenes produced by single-chip digital color cameras. The proposed measure is based on the CIELAB color space with appropriate considerations to the sensitivity of the huma...
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A measure is developed for comparing complex scenes produced by single-chip digital color cameras. The proposed measure is based on the CIELAB color space with appropriate considerations to the sensitivity of the human visual system (HVS) when viewing a complex scene. For comparison purposes, the error measures proposed have been implemented using the /spl Delta/E/sub ab//sup */, /spl Delta/E/sub 94//sup */ and the recently recommended CIEDE2000 color differences.
In this paper we discuss the application of a joint source-channel decoding approach to image transmission over wireless channels. In addition to channel codes, also the implicit residual redundancy after source encod...
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In this paper we discuss the application of a joint source-channel decoding approach to image transmission over wireless channels. In addition to channel codes, also the implicit residual redundancy after source encoding in both horizontal and vertical direction is utilized for error protection. At the decoder we use an iterative (“turbo”) source-channel decoder which can be obtained in the same manner as for serially concatenated channel codes. As a new result we show that this iterative decoding scheme in combination with a novel simplified joint source and channel coding rate allocation at the encoder can be successfully employed for protecting the image data, especially when the channel is highly corrupted. Furthermore, when the source correlations are approximated with a large training set at the decoder, only a small loss in performance is observed.
The application of the wavelet transform in imageprocessing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the basis functions are simply products of co...
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The application of the wavelet transform in imageprocessing is most frequently based on a separable transform. Lines and columns in an image are treated independently and the basis functions are simply products of corresponding one-dimensional functions. Such a method keeps simplicity in design and computation. A new two-dimensional approach is proposed, which retains the simplicity of separable processing, but allows more directionalities. The method can be applied in many areas like denoising, nonlinear approximation and compression. The results on nonlinear approximation and denoising show interesting gains compared to the standard two-dimensional analysis.
作者:
Junhui ChaoM. SuzukiDepartment
. of Electrical Electronic Engineering and Communications Faculty of Science and Engineering Chuo University Japan
This paper first presents robust algorithms to extract invariants of the linear Lie algebra model from 3D objects. In particular, an extended 3D Hough transform is presented to extract accurate estimates of the normal...
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This paper first presents robust algorithms to extract invariants of the linear Lie algebra model from 3D objects. In particular, an extended 3D Hough transform is presented to extract accurate estimates of the normal vectors. Least squares fitting is used to find normal vectors and representation matrices. Then a segmentation algorithm for 3D objects is shown using the invariants of linear Lie algebra. Distributions of invariants, both in the invariant space and on the object surface, are used to produce clusters and edge detection.
This paper presents an improved rank-conditioned median filter, with the ability of the median filter to remove the impulse noise and the rank conditioned median filter to preserve edges and fine image details. The ce...
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This paper presents an improved rank-conditioned median filter, with the ability of the median filter to remove the impulse noise and the rank conditioned median filter to preserve edges and fine image details. The center pixel that lies outside the trimming range after ranking in the rank-conditioned median algorithm may not be the corrupted pixel, but it may be a pixel on the edge or image detail and therefore, it is further verified if the central sample is a possible candidate for being an impulse by thresholding. The better performance of the new filter is demonstrated.
In this paper, we describe a visual feedback system using a stereoscopic microscope that controls a micromanipulator so that a needle head may pierce a target with as much length as desired. At first, we developed an ...
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In this paper, we describe a visual feedback system using a stereoscopic microscope that controls a micromanipulator so that a needle head may pierce a target with as much length as desired. At first, we developed an imageprocessing algorithm for the tip of the needle head to touch the target. Secondarily, we developed an algorithm for prediction of the tip position of the needle head within the target. By performing a preoperation, the shape of the needle head is preserved as a reference pattern. When the needle head is piercing the target, the shape of the needle head within the target is predicted by pattern matching. Thus, we developed a microinjection system that axially pierces the target. Experimental results show that the proposed system may be useful in micromanipulation such as microinjection to brain areas in neuroanatomy.
To cope with the recent mobile scenes where images are used aggressively, a novel rate control scheme is proposed. The proposed scheme, dedicated for JPEG2000 image coding, aims at achieving low computational cost and...
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To cope with the recent mobile scenes where images are used aggressively, a novel rate control scheme is proposed. The proposed scheme, dedicated for JPEG2000 image coding, aims at achieving low computational cost and small working memory size while maintaining high image quality. By predicting the adequate number of coding passes and updating it adaptively in code-block coding, the proposed scheme reduces both computational cost and working memory size for bitstream buffering down to 29% and 13%, respectively.
Recent advances in areas of both discrete wavelet transforms (DWT) and continuous wavelet transforms (CWT), representing human visual system neural networks, have resulted in improved video compression, restoration, a...
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Recent advances in areas of both discrete wavelet transforms (DWT) and continuous wavelet transforms (CWT), representing human visual system neural networks, have resulted in improved video compression, restoration, and filtering techniques. These software techniques are capable of achieving quality performance in video. However, the computational complexity requires specially designed hardware to run real time live video through radio. This hardware, called a brassboard, when integrated with computers, can potentially provide us with many applications including remote sensors, security systems, commercial and home video teleconferencing. This paper describes a low cost board to support a video compression, restoration, and filter system in real time processing. This WaveNet board has been optimized for wavelet-based image and video compression and enhancement techniques.
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