The proceedings contains 25 papers from the conference of SPIE : waveletapplications in industrial processing. The topics discussed include: estimation of anisotropic blur for the restoration of confocal images;ratio...
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The proceedings contains 25 papers from the conference of SPIE : waveletapplications in industrial processing. The topics discussed include: estimation of anisotropic blur for the restoration of confocal images;rational wavelet transform: application to signal denoising;image denoising using fractal- and wavelet-based methods;multiresolution hierarchical content based image retrieval of paleontology images;block based adaptive lifting schemes for multiband image compression;wavelet based methods for clutter removal from radar wind profiler data;and development of a spatial method for weed detection and localization.
We try to measure lithography line edge roughness (LER) from a noisy SEM image using wavelet analysis. First, we evaluated the edge detection performance of the wavelet multiscale edge detection method without and wit...
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ISBN:
(纸本)0819455601
We try to measure lithography line edge roughness (LER) from a noisy SEM image using wavelet analysis. First, we evaluated the edge detection performance of the wavelet multiscale edge detection method without and with denoising by applying them to a modeled secondary electron (SE) signal of photoresist without and with noise. As denoising, the method called soft thresholding was used. Many modulus maxima lines with short lengths for a modeled SE signals with low SNR such as 3 appears and characteristic modulus maxima lines with long lengths do not come out. After denoising, the characteristic modulus maxima lines come out. When SNR was larger than 10, the standard deviation was less than 1 pixel and the average position converged to a point. Then we applied the wavelet multiscale edge detection method to a noisy SEM image of photoresist. LERs (1 sigma evaluated along a distance) along ninety scan lines were measured with the number of average line scans as a parameter. The measured LER for one scan line was determined to be reliable from results of averaging effects and LER for this photoresist pattern was about 3 pixels.
The noise-alike nature of astronomical images imposes a great challenge on compression. Due to the lack of correlation among adjacent pixels, it is very difficult to achieve good compression result using standard algo...
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ISBN:
(纸本)0819455539
The noise-alike nature of astronomical images imposes a great challenge on compression. Due to the lack of correlation among adjacent pixels, it is very difficult to achieve good compression result using standard algorithms. To address the above challenge, a novel object-based compression method is proposed in this paper. Based on object analysis, the astronomical entities presented in the image are classified into two categories: clear and faint objects. For the former, a zerotree based wavelet compression algorithm is employed to achieve scalable coding;for the latter, a predictive coding method is used to preserve their location and intensity. The objective is to enhance the detection of faint object in astronomical images while providing a good overall visual effect. Experiment results demonstrate the superior performance of our proposed algorithm.
In the past of two decades, wavelet methods have been adopted enthusiastically in many engineering applications such as signal and imageprocessing. However, like most of the classic orthogonal expansions, wavelet exp...
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ISBN:
(纸本)1932415343
In the past of two decades, wavelet methods have been adopted enthusiastically in many engineering applications such as signal and imageprocessing. However, like most of the classic orthogonal expansions, wavelet expansions also exhibit Gibbs phenomenon around discontinuities of the original signals. Therefore, the recovered signals using wavelet expansions could be corrupted by the overshoot (or undershoot) around the jump discontinuities. This is also true in the case of wavelet denoising and wavelet thresholding. In order to remove the artifacts, summability methods for orthogonal wavelet expansions were introduced in previous papers. These summability methods are based on replacing the conventional wavelet basis by its associated biorthogonal basis. This paper is devoted to the discussion of an algorithm used to construct the biorthogonal wavelet basis numerically.
wavelets, which are a new mathematical tool for data representation, are discussed. wavelets are efficient in reducing the number of parameters in the representation. Efficient representation of data facilitates proce...
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ISBN:
(纸本)0769521789
wavelets, which are a new mathematical tool for data representation, are discussed. wavelets are efficient in reducing the number of parameters in the representation. Efficient representation of data facilitates processing of information contained in the data. The applications of wavelets include image, video and other data compression, denoising, and signal separation.
We present a full- and no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis of the edges and adjacent regions in an image and have very low computational complexi...
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We present a full- and no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis of the edges and adjacent regions in an image and have very low computational complexity. As blur and ringing are typical artifacts of wavelet compression, the metrics are then applied to JPEG2000 coded images. Their perceptual significance is corroborated through a number of subjective experiments. The results show that the proposed metrics perform well over a wide range of image content and distortion levels. Potential applications include source coding optimization and network resource management. (C) 2003 Elsevier B.V. All rights reserved.
We present a full- and no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis of the edges and adjacent regions in an image and have very low computational complexi...
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We present a full- and no-reference blur metric as well as a full-reference ringing metric. These metrics are based on an analysis of the edges and adjacent regions in an image and have very low computational complexity. As blur and ringing are typical artifacts of wavelet compression, the metrics are then applied to JPEG2000 coded images. Their perceptual significance is corroborated through a number of subjective experiments. The results show that the proposed metrics perform well over a wide range of image content and distortion levels. Potential applications include source coding optimization and network resource management. (C) 2003 Elsevier B.V. All rights reserved.
Multi-frame supperresolution has attracted great interests and is expected to have wide applications to medicine. This paper presents a modified Projection Onto Convex Set (POCS) superresolution method based on wavele...
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ISBN:
(纸本)0780384075
Multi-frame supperresolution has attracted great interests and is expected to have wide applications to medicine. This paper presents a modified Projection Onto Convex Set (POCS) superresolution method based on wavelet transform. An iterative procedure is utilized to extract the information hidden in a group of low resolution images to update the corresponding high frequency band of the reference image, thus augment the individual low-resolution image to a high resolution image. The effectiveness of the algorithm is demonstrated by experimental results based on constructing high-resolution surgical images.
The proceedings contains 270 papers from the IEEE International conference on Acoustics, Speech, and signalprocessing: Volume:III. The topics discussed include: robust two-camera tracking using homography;shape recon...
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The proceedings contains 270 papers from the IEEE International conference on Acoustics, Speech, and signalprocessing: Volume:III. The topics discussed include: robust two-camera tracking using homography;shape reconstruction from unorganized points with a data-driven level set method;shape gradient for image segmentation using information theory;hierarchical annealing for scientific models;a multiresolution directional filter bank for imageapplications;the discrete triangle transform;color image scalable coding with matching pursuit and mesh-based motion models for wavelet video coding.
Scalable wavelet video coders based on Motion Compensated Temporal Filtering (MCTF) have been shown to exhibit good coding efficiency over a large range of bit-rates, in addition to providing spatial, temporal and SNR...
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ISBN:
(纸本)0819454966
Scalable wavelet video coders based on Motion Compensated Temporal Filtering (MCTF) have been shown to exhibit good coding efficiency over a large range of bit-rates, in addition to providing spatial, temporal and SNR scalabilities. However, the complexity of these wavelet video coding schemes has not been thoroughly investigated. In this paper, we analyze the computational complexity of a fully-scalable MCTF-based wavelet video decoder that is likely to become part of the emerging MPEG-21 standard. We model the change in computational complexity of various components of the decoder as a function of bit-rate, encoding parameters such as filter types for spatial and temporal decomposition and the number of decomposition levels, and sequence characteristics. A key by-product of our analysis is the observation that fixed-function hardware accelerators are not appropriate for implementing these next generation fully scalable video decoders. The absolute complexity of the various functional units as well as their relative complexity varies depending on the transmission bit-rate, thereby requiring different hardware/software architecture support at different bit-rates. To cope with these variations, a preliminary architecture comprising of a reconfigurable co-processor and a general purpose processor is proposed as an implementation platform for these video decoders. We also propose an algorithm to utilize the co-processor efficiently.
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